Stories by SubQuery Network on Medium

Multi-Chain Perpetual Futures Indexing with SubQuery: A Case Study on Fufuture

SubQuery Network — Wed, 25 Mar 2026 09:01:01 GMT

Introduction

Fufuture is a decentralized, coin-margined perpetual futures exchange built for flexible and capital-efficient derivatives trading. By allowing traders to use crypto as margin, support any ERC20 token as collateral, and settle all positions fully on-chain, Fufuture delivers a truly composable perpetuals trading experience.

But delivering this experience at scale requires more than smart contracts - it requires reliable access to historical and real-time blockchain data across multiple networks.

To power its user-facing dashboard and trading history tools, Fufuture relies on SubQuery as the indexing foundation of its multi-chain data infrastructure.

Key Metrics at a Glance

Active SubQuery Indexers: 5
Primary Use Case: Customer dashboard and trading history views
Hosting Partner: Managed SubQuery indexers via OnFinality’s hosting service
Total Indexed Blocks: 151,000,000+
API Requests Served (Monthly Avg.): 2,000,000+
Average Query Latency: 249.47ms
Uptime (Last 30 Days): 100%

The Challenge

As a perpetual futures exchange, Fufuture must give users fast and accurate access to the data that matters most in derivatives trading: complete trade and position history, detailed contract-level activity, robust account-level analytics, and transaction records that span multiple chains. All of this information exists on-chain, but querying raw blockchain data directly is simply not practical when building a seamless, real-time trading interface. Without a proper indexing layer, creating a responsive dashboard would mean investing in complex infrastructure, enduring slow query performance, and dealing with constant maintenance overhead — none of which aligns with delivering the smooth experience traders expect.

Issues Before Using SubQuery

Before adopting SubQuery, Fufuture ran into the same obstacles that many Web3 derivatives protocols face. At the time, there were very few genuinely viable indexing solutions available on the market. The team had previously worked with other indexing tools, but these solutions struggled to support a wide range of networks, making it difficult to scale alongside Fufuture’s multi-chain ambitions.

The alternatives that have appeared more recently often carry prohibitively high costs that don’t scale well for a growing protocol. On top of that, because Fufuture operates across several EVM-compatible networks, supporting multiple chains typically meant stitching together fragmented tooling, duplicating development effort, and risking inconsistencies across the stack.

For a fast-moving protocol that needs to stay agile while scaling across chains, the team required an indexing solution that could deliver strong performance, dependable uptime, and genuine cost-effectiveness — without forcing painful compromises on any of those fronts.

The Role of SubQuery in Fufuture

SubQuery plays a central role in Fufuture’s data stack, acting as the protocol’s core indexing and query layer.

Fufuture indexes data across multiple chains — primarily EVM ecosystems such as:

BNB Chain
opBNB
Base
Additional EVM-compatible networks

The indexed data is then used to power the customer dashboard available at: https://contractv2.fufuture.io/

Through this dashboard, users can:

Trade perpetual futures
View historical account activity
Track contract interactions
Explore detailed on-chain trading records

SubQuery enables this experience by transforming complex blockchain event data into structured, queryable datasets that can be served instantly in the front end.

Below is an example query to obtain the top 10 brokers on Fufuture based on referral count:

Querying Fufuture Data in Plain English

Beyond powering Fufuture’s on-chain derivatives infrastructure, the Fufuture SubQuery project can also be connected to AskSubQuery, allowing users to query the indexed Fufuture data using plain English. Instead of writing complex GraphQL queries, users can simply ask natural language questions such as:

“Which brokers have the most referrals?”

AskSubQuery translates the request into structured queries against Fufuture’s indexed dataset and returns formatted, actionable results in seconds: showing the top 10 brokers ranked by referral count, along with their respective referral numbers.

As shown in the example below, users can retrieve real-time referral leaderboard data across the decentralized brokerage system without needing to understand the underlying schema or blockchain structure.

This lowers the barrier to accessing onchain data, making Fufuture’s indexed datasets usable not just by developers, but by analysts, researchers, community managers, and even AI agents.

Benefits of Using SubQuery for Fufuture

For the Fufuture team, SubQuery has become the base layer of their system.

In their words:

“It’s easy to use and has multi-chain support. It is the base of our system, and we want it reliable.”

Key advantages include:

Multi-chain indexing support across major EVM ecosystems
Developer-friendly setup, making it easy to build and maintain
Reliable structured data for dashboards and customer-facing analytics
Scalability as Fufuture expands to additional networks
Cost-effective alternative compared with newer expensive indexing providers

To ensure enterprise-grade performance, Fufuture runs its SubQuery projects through OnFinality, one of SubQuery’s trusted hosting partners, using a centralized managed service deployment.

This allows the team to focus on product development while maintaining reliable indexing infrastructure.

The Road Ahead

Fufuture continues to expand its multi-chain derivatives offering, with indexing playing a critical role in that growth.

As the protocol evolves, multi-chain support remains the most important factor in its data strategy. With activity already spanning multiple EVM networks (and plans to extend into Solana-like ecosystems) having a unified indexing layer is essential to maintaining a consistent and scalable user experience.

For the Fufuture team, this is where SubQuery stands out. Its ability to support multiple chains within a single framework is not just a feature, it’s a long-term advantage.

Looking ahead, Fufuture plans to:

Expand beyond EVM into additional ecosystems
Deploy indexing for Solana-compatible chains
Enhance dashboard analytics and user-facing data tools

Conclusion

For decentralized perpetual exchanges, user experience depends heavily on fast access to accurate historical and real-time blockchain data.

By adopting SubQuery, Fufuture has built a robust multi-chain indexing pipeline that powers its trading dashboard, improves customer visibility, and supports expansion across ecosystems.

With SubQuery’s multi-chain support, ease of use, and enterprise hosting through OnFinality, Fufuture has established a reliable indexing foundation — enabling the protocol to focus on what matters most: building the future of on-chain derivatives trading.

Start building your SubQuery indexer

About Fufuture

Fufuture is a decentralized, coin-margined perpetual futures exchange.

Trade perpetuals using crypto as margin.

Support any ERC20 token as collateral.

All positions are settled on-chain.

Built for flexible, capital-efficient derivatives trading.

Website | Twitter | Medium | Gitbook

About SubQuery

SubQuery is building the foundational data layer of Web3 — open, scalable, and designed for the AI-driven future.

SubQuery Network provides decentralised data indexers and dRPCs that power thousands of dApps across nearly 300 networks. With AI-assisted tools in the SubQuery SDK and Model Context Protocol (MCP) integration, developers can easily build, deploy, and scale blockchain data infrastructure.

Hermes (Subnet 82) is a Bittensor subnet that connects AI agents directly to blockchain data through GraphQL. By rewarding developers to create and improve these agents, Hermes enables intelligent on-chain applications.

AskSubQuery.xyz provides graphql query MCP as a service. It is also the first product to connect to Hermes Subnet as an Authorized Caller.

With SubQuery, you can unlock intelligence in blockchain data.

Indexing Nibiru Data with SubQuery: A Case Study on Gamma

SubQuery Network — Tue, 10 Mar 2026 09:01:09 GMT

Introduction

For Web3 applications, fast and reliable blockchain data access is not optional — it’s foundational. Whether powering user-facing dashboards, analytics, or DeFi automation, teams need indexing infrastructure that works seamlessly behind the scenes.

Gamma.xyz, a leading platform for decentralized finance and onchain asset experiences, required a dependable way to index and query data on the Nibiru blockchain as the ecosystem grew.

To meet this need, Gamma turned to SubQuery, deploying their indexing workloads on the decentralized SubQuery Network in August 2025. Since then, Gamma has been able to access production-grade indexed data with minimal overhead — while also benefiting from SubQuery’s Consumer Rewards program, making their indexing costs close to zero.

Key Metrics at a Glance

Chain Indexed: Nibiru
Active SubQuery Indexers: 2
Deployment to SubQuery Network: August 2025
Cost Efficiency: 10x spend returned through Consumer Rewards
Outcome: Indexing costs reduced to virtually zero

The Challenge

Building on emerging blockchain ecosystems often comes with a familiar hurdle: infrastructure gaps.

When Gamma began developing their indexing stack for Nibiru, the options were extremely limited.

At the time, SubQuery was the only indexing solution available that could support Gamma’s requirements on the Nibiru chain.

While other providers have since become compatible, Gamma found that alternatives came with pricing structures that were difficult to justify.

As the Gamma team explained:

“We just need it to do a job - index our data. Like all infrastructure products, it needs to work and fulfill its function.”

For Gamma, the priority wasn’t flashy features, it was reliability, availability, and a solution that could support them from day one.

Indexing Before SubQuery

Before adopting SubQuery, Gamma faced two core constraints:

Limited Ecosystem Support

Nibiru was still early in its infrastructure lifecycle, and indexing options were scarce. Gamma needed a solution that could work immediately, without waiting for the ecosystem to mature.

High Cost of Emerging Alternatives

Although other indexing providers have since added compatibility, Gamma found annual pricing to be prohibitively expensive compared to their needs.

SubQuery provided an accessible, scalable indexing layer without the overhead of costly long-term contracts.

The Role of SubQuery in Gamma

SubQuery plays a critical role in Gamma’s ability to serve performant, queryable blockchain data for their Nibiru LP Vaults and Perp Vaults.

By using SubQuery, Gamma can:

Index onchain activity efficiently
Power application-level data queries
Avoid running complex custom indexing infrastructure in-house
Rely on decentralized indexing through the SubQuery Network

Below is an example query from the Gamma SubQuery project:

Querying Gamma’s Indexed Data in Plain English

Beyond powering Gamma’s internal data infrastructure, the Gamma SubQuery project can also be connected to AskSubQuery, allowing users to query the indexed Nibiru data using plain English. Instead of writing complex GraphQL queries, users can simply ask natural language questions such as:

“What fees have been collected by each pool in the last 24 hours?”

AskSubQuery translates the request into structured queries against Gamma’s indexed dataset and returns formatted, actionable results in seconds — including pool IDs, fee totals, and time-based metrics.

As shown in the example below, users can retrieve real-time fee data across liquidity pools without needing to understand the underlying schema or blockchain structure.

This lowers the barrier to accessing onchain data, making Gamma’s indexed Nibiru datasets usable not just by developers, but by analysts, researchers, and even AI agents.

Benefits of Using SubQuery for Gamma

By using SubQuery as their indexing solution on Nibiru, Gamma has been able to access reliable, production-ready blockchain data infrastructure without the overhead of running complex systems in-house. Key benefits include:

Dependable indexing that simply works: Allowing the team to stay focused on building rather than maintaining infrastructure
Cost efficiency through SubQuery’s Consumer Rewards Program: With Gamma earning roughly 10x their spend and making indexing costs virtually zero
Decentralized deployment on the SubQuery Network: Providing a more resilient long-term foundation supported by independent Node Operators rather than a single centralized provider

The Road Ahead

Looking forward, Gamma remains committed to pushing the boundaries of onchain liquidity management and DeFi innovation on ecosystems like Nibiru. A major milestone on the horizon is the upcoming release of our V2 vaults, which introduce permissionless vault deployment and advanced liquidity management features. This upgrade will empower anyone to create and customize vaults without restrictions.

By continuing to leverage SubQuery’s reliable, decentralized indexing infrastructure, Gamma will ensure seamless data availability to support these new capabilities. With SubQuery’s ongoing support and the cost efficiencies from the Consumer Rewards program, the team can focus on delivering cutting-edge tools that drive greater adoption and performance in onchain finance.

Conclusion

Gamma’s experience highlights a key truth in Web3 infrastructure: the best tools are often the ones that quietly power everything behind the scenes.

With SubQuery, Gamma gained:

The first viable indexing solution on Nibiru
A dependable production-ready data layer
Decentralized deployment through the SubQuery Network
Rewards that make indexing costs nearly zero

By partnering with SubQuery, Gamma has ensured fast, scalable blockchain data access — enabling them to focus on what matters most: building the future of onchain finance.

Start building your SubQuery indexer

About Gamma

A protocol for active liquidity management and market-making strategies.

Gamma offers non-custodial, automated, and active concentrated liquidity management services.

About SubQuery

SubQuery is building the foundational data layer of Web3 — open, scalable, and designed for the AI-driven future.

AskSubQuery.xyz provides graphql query MCP as a service. It is also the first product to connect to Hermes Subnet as an Authorized Caller.

With SubQuery, you can unlock intelligence in blockchain data.

Our 2026 Roadmap: Scaling SubQuery With Purpose

SubQuery Network — Thu, 05 Mar 2026 09:01:01 GMT

Today we’re launching the SubQuery 2026 Roadmap.

You can explore the full breakdown of goals and milestones on our website here:

👉 View the full 2026 Roadmap

This post is not about listing every feature. It’s about explaining where we’re heading and why.

At a high level, our goal for 2026 is simple: convert the strength of our infrastructure into scalable, monetizable intelligence. That means reducing experimental friction in the protocol while maximizing adoption, incentives, and revenue signals. Everything in this roadmap supports that vision.

There are two clear focus areas this year: the SubQuery Network and AskSubQuery. Together, they represent the infrastructure and the interface of decentralized data.

SubQuery Network: Strengthening the Core and Expanding the Vision

The SubQuery Network has proven that decentralized indexing works. Now the focus shifts from proving it works to making it stronger, smarter, and ready for the next stage of growth.

First, incentives.

A decentralized network only scales if its economics are sustainable. In 2026 we are refining token mechanics, improving reward structures, and introducing more dynamic ways to balance costs for consumers with fair returns for Node Operators. The goal is long term stability. Builders need predictable pricing. Node Operators need reliable incentives. Both matter.

Second, developer experience.

The way developers build software has changed rapidly with the rise of AI coding tools. SubQuery needs to feel natural in that environment. This year we are investing heavily in performance improvements, better tooling, and AI-friendly workflows so building with SubQuery is faster and more intuitive than ever. We are also expanding multi-chain support to stay ahead of emerging ecosystems.

Third, expanding beyond indexing.

Data retrieval is only the starting point. Applications increasingly need analytics, insight, and computation layered on top of raw blockchain data. In 2026 we are moving further into verifiable analytics and advanced compute integrations to support more complex and AI-native workloads. The long term vision is clear: SubQuery becomes the data and intelligence backbone for Web3 applications.

At its core, the Network strategy is about resilience, performance, and evolution.

AskSubQuery: Making Web3 Data Accessible to Everyone

If the Network is the engine, AskSubQuery is how people interact with it.

The strategy here is simple: remove friction and expand capability.

We are introducing clearer subscription plans, streamlined onboarding, and transparent billing so individuals and teams can adopt AskSubQuery with confidence. Access should be straightforward. Pricing should make sense. Usage should be visible.

Beyond access, we are expanding what the platform can do.

AskSubQuery is evolving into a more powerful conversational workspace. That includes better support for integrating external data sources, new tools for organizing and sharing analysis, and deeper real time project intelligence powered by live indexed data.

Our ambition is to make natural language the default way people explore blockchain data. Instead of writing complex queries, users should be able to ask questions and receive reliable, real time answers backed by verifiable on chain information.

This is about making decentralized data usable not just for developers, but for teams, analysts, and decision makers.

The Bigger Picture

The 2026 roadmap is focused and deliberate.

On one side, we are strengthening and expanding the SubQuery Network so it can support more advanced workloads and a growing ecosystem.

On the other, we are scaling AskSubQuery into the primary interface for exploring Web3 data through conversation.

Together, they move us closer to a single goal: positioning SubQuery as the default data and intelligence layer for Web3.

This year is about scalable, monetizable intelligence — a foundation for a more usable, sustainable, and powerful Web3 ecosystem.

If you want the full list of milestones and what’s shipping across the year, you can explore the detailed roadmap here:

👉 View the complete 2026 Roadmap

We are excited about what this year represents and even more excited to build it alongside our community.

SubQuery is building the foundational data layer of Web3 — open, scalable, and designed for the AI-driven future.

About SubQuery

SubQuery Hermes (Subnet 82) is a Bittensor subnet that connects AI agents directly to blockchain data through GraphQL. By rewarding developers to create and improve these agents, Hermes enables intelligent on-chain applications.
AskSubQuery.xyz provides graphql query MCP as a service. It is also the first product to connect to Hermes Subnet as an Authorized Caller.

With SubQuery, you can unlock intelligence in blockchain data.

5 AI Agents You Can Build with AskSubQuery

SubQuery Network — Thu, 29 Jan 2026 09:01:01 GMT

Blockchain data is one of the richest open datasets in the world, but it’s also one of the hardest to work with. Schemas are complex, queries are verbose, and even experienced teams spend hours just trying to analyze blockchain activity.

AskSubQuery changes that.

By turning natural language into production-ready GraphQL queries across SubQuery and The Graph, AskSubQuery makes it possible to build AI agents that understand blockchain data instead of just retrieving it.

AskSubQuery lets AI agents query blockchain data easily, but you still need a structured dataset (typically created using your own SubQuery project or subgraph) to provide the data the agents will analyze.

In this article, we’ll explore five practical AI agents you can build with AskSubQuery, and how they unlock faster blockchain development, smarter Web3 apps, and deeper on-chain insights.

Why AI Agents Matter for Blockchain Data

AI agents excel when they can:

Interpret intent
Query complex data systems
Iterate quickly on results

Blockchain data fits AI agents perfectly — but only when those agents are trained to understand complex schemas and on-chain relationships. AskSubQuery benefits from this deeper intelligence through its integration with Hermes, a Bittensor subnet which ensures agents return fast, accurate, and reliable answers instead of shallow query results.

Traditionally, developers and analysts must understand indexing schemas, write GraphQL by hand, and manually stitch insights together. This slows down everything from protocol analytics to Web3 app development.

AskSubQuery removes that friction by letting AI agents reason over blockchain data using natural language, while still executing precise GraphQL queries under the hood.

What Makes AskSubQuery Different

AskSubQuery is powered by our GraphQLAgent MCP (Model Context Protocol) — the first AI-native querying layer built specifically for blockchain indexers.

It allows AI agents to:

Automatically analyze schemas
Generate valid GraphQL queries
Execute them against SubQuery or The Graph
Explain results in plain human language

This makes AskSubQuery an ideal foundation for AI agents that need to analyze blockchain data reliably and repeatedly.

For broader context on how GraphQL powers Web3 data access, check out this IBM explanation.

Note: While AskSubQuery simplifies the querying and integration process, it does not automatically index blockchain data. Developers must first create a SubQuery project or subgraph that indexes the blockchain data they want to analyze.

AI Agent #1: On-Chain Analytics Assistant

What it does
Once you have your indexed SubQuery project or Subgraph with the relevant blockchain data, the agent can answer ad-hoc analytics questions in real time:

“What wallets interacted with this contract last week?”
“How has daily transaction volume changed since the upgrade?”
“Who are the top users by activity this month?”

Why AskSubQuery is essential
Instead of pre-building dashboards or writing one-off queries, the agent uses AskSubQuery to translate each question into the correct GraphQL query instantly.

Who it’s for

Analysts
Founders
DAOs
Growth teams

This dramatically speeds up decision-making in blockchain development workflows.

AI Agent #2: Web3 Product Insights Agent

What it does
This agent connects user behavior to product decisions:

Which features are actually being used?
Where are users dropping off?
How do on-chain actions correlate with releases?

Why AskSubQuery is essential
AskSubQuery allows the agent to query your indexed dataset which can be across multiple endpoints, chains, and data sources — without requiring schema-specific logic for each one.

Who it’s for

Web3 product managers
Growth teams
UX researchers

This unlocks a new class of data-driven Web3 apps that adapt based on real on-chain usage.

AI Agent #3: On-Chain Trading Agent

What it does

This agent provides real-time, data-driven insights for trading and investment decisions by querying indexed on-chain market activity. It can answer questions like:

Show me the top 10 tokens by large wallet accumulation over the past 24 hours.
Are there any significant changes in DEX liquidity pool composition for this token pair?
Identify any contract deployments or token minting events from this specific developer address.
Which wallets are consistently profitable in their NFT flipping strategies, and what patterns do they follow?

When something changes, it asks follow-up questions automatically.

Why AskSubQuery is essential
Instead of maintaining separate query logic for each protocol (Uniswap, Curve, Aave, etc.), the agent can understand and explore relationships on the fly.

Who it’s for

Retail and professional traders seeking an edge through on-chain analytics
DAO treasury managers monitoring portfolio performance and market conditions
Risk management teams detecting market manipulation or systemic risks
Research analysts investigating token economics and holder behavior

NB: requires an indexed SubQuery project or Subgraph with the relevant blockchain data.

AI Agent #4: Automated Support Agent for Web3 Apps

What it does
This agent acts as a first-line support assistant for Web3 apps, answering user questions like:

“Why did my transaction fail?”
“Where can I see my staking rewards?”
“How do I interact with this contract?”

It queries indexed blockchain data to fetch relevant transactions, balances, or contract interactions and explains them in plain language.

Why AskSubQuery is essential
AskSubQuery allows the agent to translate user questions directly into GraphQL queries across indexed datasets, without hardcoded logic for every user flow or contract, unlike most support agent who can only answer from a static knowledge base.

Who it’s for

Web3 apps
Wallets
Protocol frontends
NFT marketplaces

This dramatically reduces support load while improving user experience.

AI Agent #5: Governance & DAO Intelligence Agent

What it does
This agent helps DAOs and governance participants understand on-chain activity:

“What is the current realized APY for our liquidity pool, and how has it trended?”
“Which yield-generating proposals passed in the last quarter, and what was their impact?”
“Which service providers (e.g., validators, node operators) are delivering the highest and most consistent returns for the protocol?”

By accessing indexed on-chain datasets -including financial performance metrics, proposal outcomes, and provider contribution data, the agent provides actionable insights. For example, it can analyze a specific stakeholder group’s actual APY or their capital efficiency, and then recommend precise adjustments to relevant network parameters (like fees, incentives, or reward distribution) to optimize overall returns and sustainability.

Why AskSubQuery is essential
Governance data is deeply relational. AskSubQuery’s schema-aware querying makes it easy for AI agents to explore these relationships without custom query engineering.

Who it’s for

DAOs
Delegates
Token holders
Governance tooling teams

How This All Connects Back to SubQuery

AskSubQuery is not a replacement for SubQuery (or The Graph) it’s an intelligence layer on top of it.

To use AskSubQuery effectively, you must first create a SubQuery project or subgraph to index the data your AI agents will query.

SubQuery and The Graph provide:

High-performance, decentralized indexing
Reliable blockchain data pipelines
Cross-chain coverage

AskSubQuery adds:

Natural language access
AI-native querying
Agent-friendly workflows

Together, they enable faster blockchain development, smarter Web3 apps, and entirely new ways to analyze blockchain data without increasing engineering overhead.

Start Building with AskSubQuery

AI agents are only as powerful as the data they can understand.

With AskSubQuery, you can stop fighting schemas and start building agents that reason, explore, and explain blockchain data in real time.

If you’re ready to:

Build smarter AI agents
Accelerate Web3 app development
Unlock instant on-chain insights

👉 Ready to build AI-powered blockchain applications? Start by creating your SubQuery project or subgraph, then integrate it with AskSubQuery to unlock intelligent insights.

About SubQuery

SubQuery is building the foundational data layer of Web3 — open, scalable, and designed for the AI-driven future.

With SubQuery, you can unlock intelligence in blockchain data.

SubQuery Launches Two Major Products for AI and Blockchain Data

SubQuery Network — Wed, 21 Jan 2026 09:02:05 GMT

A recap of Hermes and AskSubQuery and how they combine to unlock the future of intelligent Web3 data.

Over the past year, AI has advanced faster than any other technology, and blockchain has quietly become one of the world’s biggest open data sources. Yet combining the two in a practical way has remained a challenge. AI struggles to query blockchain data efficiently, and Web3 apps have no simple way to tap into intelligent agents without massive cost, latency, or engineering overhead.

To solve this, SubQuery has recently announced two major products that work together to unlock AI-powered blockchain experiences at scale:

Hermes: a new Bittensor subnet designed to train and incentivize GraphQL AI agents for blockchain data
AskSubQuery: a MCP service to enable developers to build AI agents that can query blockchain data easily via graphql.

Together, they form a powerful new stack:
Hermes is the engine. AskSubQuery is the car.

This article explains what each product does and how they connect to build the future of intelligent Web3 data.

SubQuery Hermes: A Bittensor Subnet

Hermes was launched as SubQuery’s dedicated Bittensor subnet designed specifically for GraphQL-based blockchain data. Instead of relying on generic, expensive large language models, Hermes trains and evaluates AI agents that understand blockchain schemas, respond quickly, and compose accurate GraphQL queries.

Agents compete, improve, and are rewarded through Bittensor’s incentive mechanisms. This makes Hermes a constantly evolving environment where specialised AI becomes faster, cheaper, and more useful over time.

Hermes is the engine beneath SubQuery’s long-term vision: a network of AI agents that can retrieve, interpret, and act on on-chain data natively and efficiently.

Read the full announcement for more details.

AskSubQuery — Natural Language for Blockchain Data

Shortly before Hermes, SubQuery also launched AskSubQuery, a product that enables AI agent developers to easily integrate a powerful GraphQL Query Agent into their applications.

Instead of writing GraphQL queries or navigating complex schemas, users can simply ask questions like:

“What wallets interacted with this contract last week?”
“Show me today’s NFT mints.”

AskSubQuery exposes this capability via the industry-standard MCP protocol, allowing any AI agent to plug in and instantly support natural-language blockchain queries. It works seamlessly with both SubQuery projects and The Graph subgraphs, making it a truly universal conversational layer for Web3 data.

AskSubQuery turns blockchain exploration from a technical chore into an intuitive conversation.

Read the full announcement for more details.

How They Work Together

The launches were intentionally connected.

Hermes optimises AI agents to train and understand blockchain data.
AskSubQuery is an authorized caller which will benefit from Hermes to further optimise the GraphQL agent experience — delivering fast, accurate answers directly to users.

Hermes improves the underlying intelligence; AskSubQuery becomes the accessible interface powered by that intelligence. One is the infrastructure layer, the other is the experience layer. Together, they transform blockchain data from something only developers can work with into something anyone can understand and use.

This combination opens the door to AI-native Web3 applications — intelligent explorers, trading assistants, automated support agents, governance tools, on-chain analytics engines, and more.

Why Bittensor?

Bittensor provides the missing incentive layer required to scale specialised AI for blockchain data. Rather than relying on centralized, general-purpose LLMs, Hermes leverages Bittensor’s decentralized training and evaluation framework to continuously improve GraphQL-native AI agents in the open. On Bittensor, agents are objectively scored on accuracy and latency when querying real on-chain data, and are rewarded directly for performance. This creates a competitive environment where the best blockchain-aware models rise to the top, while weaker or outdated approaches are naturally filtered out. For Hermes, Bittensor isn’t just a deployment platform — it’s the mechanism that ensures AI agents remain fast, verifiable, cost-efficient, and aligned with real developer needs over time.

A Step Toward Intelligent Web3

Since 2021, SubQuery has been a leader in blockchain data indexing across more than 300 networks. With Hermes and AskSubQuery, we’ve extended that leadership into the world of AI — connecting the data layer of Web3 with the intelligence needed to interpret it.

The reason why is that SubQuery has identified that agentic AI is transforming industries, but Web3 risks missing out. The current approach of using general-purpose LLMs for GraphQL agents creates prohibitive cost and latency, stifling innovation.

These two launches are more than new products. They’re the foundation of an ecosystem where blockchain data becomes interactive, conversational, and intelligently accessible at scale.

About SubQuery

SubQuery is building the foundational data layer of Web3 — open, scalable, and designed for the AI-driven future.

With SubQuery, you can unlock intelligence in blockchain data.

SubQuery Launches Hermes: A New Bittensor Subnet for AI-Powered Blockchain Data

SubQuery Network — Thu, 15 Jan 2026 20:47:15 GMT

Introduction: Bridging AI and Blockchain

Artificial Intelligence (AI) and blockchain are reshaping technology as we know it. Today, we are thrilled to announce the launch of Hermes, SubQuery’s dedicated Bittensor subnet designed to bring AI and blockchain closer than ever. Hermes empowers developers to build smarter Web3 applications by connecting AI Agents directly to blockchain data, overcoming longstanding inefficiencies in cost and latency that have hindered the development of AI-native dApps.

A new wave of agentic AI is transforming industries, but web3 risks missing out. The current approach of using general-purpose LLMs (Large Language Models) for GraphQL agents creates prohibitive cost and latency, stifling innovation. To unlock this new era for our industry, we must solve these fundamental adoption barriers. Hermes changes that by introducing GraphQL Agents capable of automatically retrieving, analyzing, and responding to blockchain data in real time.

With Hermes, SubQuery takes a major step toward its vision of unlocking intelligence in blockchain data. Developers can now bring production-ready AI applications to life faster and for cheaper, while users benefit from smarter, faster, and more responsive blockchain experiences.

What is Hermes and Why It Matters

At its core, Hermes is designed to be a subnet of the Bittensor network, tailored for AI agents that handle blockchain data. These agents — like SubQuery’s GraphQL agent — act as translators between complex on-chain data and user-friendly applications. By rewarding miners and validators for their contributions, Hermes creates an ecosystem where AI agents continuously evolve to deliver better performance.

What makes Hermes unique is its focus on practical utility. Unlike generic AI experiments, Hermes targets real-world use cases by incentivizing AI agents that can power chatbots, trading assistants, governance tools, and automated support systems. This design ensures that improvements in Hermes lead directly to better Web3 applications, with tangible benefits for both developers and end users.

“Hermes is designed to connect AI innovation directly with real-world blockchain projects,” said Ian He, Chief Technical Officer at SubQuery. “By incentivizing continuous improvement, Hermes ensures that AI agents don’t just exist — they evolve, learn, and deliver real value to users.”

Benefits for Blockchain Developers

With Hermes, developers no longer need to spend weeks building complex data infrastructure. Instead of setting up heavy infrastructure to query blockchains, developers can leverage SubQuery or Subgraph indexers to accelerate their development process. From there, Hermes can empower these indexers with AI capabilities. This dramatically cuts development time and lowers costs, while improving scalability and reliability.

We’ve identified more than 50,000 Subgraph and SubQuery indexers built by developers across Web3. With Hermes, every one of these can be AI-supercharged — upgraded into GraphQL agents that understand, analyze, and respond to blockchain data intelligently.

As CoinDesk has noted, the combination of AI and blockchain represents one of the most promising frontiers in technology. Hermes is a real-world implementation of this vision — an accessible, incentivized platform where AI agents bridge the gap between raw blockchain data and user-friendly experiences.

Tokenomics and the Alpha Token Economy

The Hermes subnet operates on the Bittensor network and uses the Alpha token (SN82 Alpha) as its native utility token for all ecosystem activities.

How the SN82 Alpha Token Works

Alpha is obtained by staking $TAO on the Bittensor chain. When participants stake $TAO, they receive alpha in return — which can then be used throughout the Hermes ecosystem:

Accessing AI apps through organic prompts
Voting on which blockchain projects the subnet should prioritize
Rewarding miners and validators for their contributions
Participating in subnet governance

By tying rewards to performance, Hermes ensures that miners and validators remain motivated to provide accurate, fast, and useful AI-driven results. As demand for Hermes’ AI services grows, the value and utility of the alpha token are expected to rise. This growth attracts more participants who need to stake TAO to engage with the subnet (e.g., as miners or validators), creating a virtuous cycle where increasing utility drives network security and participation.

How Hermes Works

Hermes isn’t just a concept — in short, we are building the specialized engine that will make GraphQL AI agents commercially viable to AI Agents.

What is GraphQL?

GraphQL is the cornerstone of Web3 because it provides a universal, efficient, and flexible way to query decentralized data across multiple blockchains and protocols. In an ecosystem where information is scattered and constantly evolving, GraphQL acts as a single, structured interface that lets developers and AI agents access exactly the data they need — no more, no less.

By creating a specialized, competitive ecosystem, we crowdsource the most efficient GraphQL solutions. Success means we can offer a product that is fast and cheap enough for customers to actually buy and use.

From Projects to Miner Rewards

The cycle begins when Authorized Callers or project owners submit GraphQL endpoints to the Hermes network, and vote these projects with the alpha token of Hermes to allow their projects to be selected. Validators then generate synthetic challenges — AI-generated prompts that test miners’ ability to compose graphql queries and interpret data accurately.

Miners, in turn, compete to answer these prompts with the highest accuracy, fastest response times, and most concise outputs. Their performance is scored against ground truth data and response time, with top-performing miners gaining higher rewards and opportunities to serve organic prompts from real-world users.

Cloud Mining and Accessibility

Looking ahead, Hermes plans to introduce cloud mining to further lower barriers to entry. This forthcoming feature will allow participants to contribute through shared cloud resources, eliminating the need for costly, dedicated hardware and enabling broader, more scalable network growth.

Why Hermes is a Game-Changer for Web3 Applications

Hermes is building the bridge between AI and the data layer of Web3.

GraphQL is the backbone of blockchain data — it powers everything from DeFi protocols and DEXs to gaming, governance, and on-chain analytics. But today, AI can’t use this data efficiently.

For example, an AI agent connected to GraphQL could instantly:

Fetch real-time trading pair prices and identify arbitrage opportunities
Analyse historical wallet transactions to detect trends or risks
Build personalized trading assistants that help users act on blockchain data in real time

Yet using large, general-purpose LLMs to achieve this is prohibitively expensive, slow, and inaccurate — blocking real adoption.

Hermes solves this. By connecting specialized AI agents directly to GraphQL and rewarding continuous improvements in speed, accuracy, and performance, Hermes makes intelligent blockchain data possible at scale.

Why SubQuery is Perfectly Positioned to Build the Hermes Subnet

SubQuery has been shaping how developers access blockchain data since 2021. As a leading Web3 data indexer, SubQuery powers thousands of dApps across 300 networks — from Solana, Polkadot and Cosmos to Ethereum and Avalanche. This experience in organizing and serving blockchain data makes SubQuery uniquely suited to build Hermes.

Hermes is the next step in SubQuery’s mission to unlock intelligence in blockchain data. After years of optimizing GraphQL infrastructure and decentralizing data services, SubQuery is now applying that expertise to connect blockchain data directly with AI.

By combining our expertise with Bittensor’s incentive model, SubQuery is building a network where AI agents can continuously learn, evolve, and deliver smarter, faster blockchain experiences.

Conclusion

Hermes represents more than just a new subnet — it’s a vision for the future of blockchain and AI working together. By combining SubQuery’s data indexing technology with Bittensor’s incentivized network, Hermes creates a thriving ecosystem where developers, miners, and users all benefit.

For blockchain developers, this means a faster path to building production-ready AI-driven Web3 applications. For businesses, it means scalable tools that improve governance, customer support, and user engagement. And for users, it means richer, more reliable interactions with Web3 technology.

👉 Ready to see how Hermes and SubQuery can power your next Web3 project? Start building with SubQuery today.

About SubQuery

SubQuery is building the foundational data layer of Web3 — open, scalable, and designed for the AI-driven future.

With SubQuery, you can unlock intelligence in blockchain data.

2025: The Year SubQuery Became the AI Data Layer for Web3

SubQuery Network — Mon, 05 Jan 2026 09:02:53 GMT

2025 will be remembered as the year SubQuery stepped fully into its role as the AI data layer for Web3. What began as a fast, reliable indexing protocol has evolved into a foundation for AI-driven blockchain data intelligence — powered by a decentralised network, strengthened by major ecosystem expansion, and brought to life through breakthrough AI products.

Below, we look back at the milestones that defined this defining year.

1. The Multichain Explosion: SubQuery Reaches 300 Supported Networks

We started SubQuery in 2021 with a mission: to meet developers wherever they build. That meant one thing — becoming truly multichain at scale.

Throughout the year, we delivered day-one or early indexing support to some of the most anticipated networks in Web3 such as Soneium, Starknet, Unichain, Monad and the much awaited: Solana.

The arrival of SubQuery’s Solana indexing support

This was one of the most anticipated and most requested integrations in our history. Solana’s unique architecture required a bespoke approach, and delivering fast, reliable indexing at Solana scale had been a long-term ambition for us.

When we announced Solana support in May, it wasn’t just another integration — it opened SubQuery to one of the fastest-growing ecosystems in Web3. It was a signal to developers that SubQuery was ready to meet the demands of the next generation of high-throughput chains. Solana builders had been waiting for this — and so had we.

And the momentum didn’t stop. By October, we hit a huge milestone:

SubQuery Hits 300 Supported Networks

This milestone wasn’t just about quantity. It represented SubQuery becoming the one of (if not the) largest web3 indexers in terms of chain support.

We didn’t just build for a multi-chain future — we became the infrastructure that powers it. We celebrated this milestone with old and new friends who have helped us reach it.

Blockchain network teams sharing congratulatory tweets celebrating SubQuery hitting 300 supported networks.

2. Strengthening the Network: Better Performance, More Decentralisation & Smarter Indexing

Indexing is more than indexing — it’s about data reliability, performance, and accessibility. In 2025, we made major strides across all three.

Decentralised Network Upgrades

We added more RPCs to the SubQuery Network (like Gnosis and Solana), demonstrating that our Node Operators deliver broader, multi-purpose decentralised infrastructure.
We introduced SubQuery CLI support for the Network in September, bringing the full deploy-to-decentralised workflow into a single, familiar interface for developers.

Smarter, More Efficient Indexing

In April, we launched Multichain Rewind, an advanced indexing feature that dramatically simplifies multi-chain projects. Developers can now reuse logic across chains, reduce maintenance overhead, and build cleaner multi-chain architectures.

All of these upgrades were reinforced by a stronger economic engine…

3. SQT Evolves: Rewards Expansion & Tokenomics 2.0

2025 was also the year we doubled down on sustainable, long-term growth for the SubQuery Network.

Launching the Consumer Rewards Programme

What began as a 60M $SQT initiative in April expanded to 100M $SQT by September, ensuring that consumer applications, developers, and data-heavy protocols could continue to scale while benefiting from predictable rewards for query usage.

Learn more about the Consumer Rewards Programme

Introducing Tokenomics 2.0

In December, we introduced a major change to SubQuery’s long-term economics: SQT transitioned to a non-inflationary supply model.

We launched mainnet in February 2024 meaning we’re almost 2 years on and the SubQuery Network is no longer a network in its infancy. We are operating real infrastructure, supporting real workloads, and generating real usage across ecosystems. Tokenomics should reflect that reality.

SMP-4, our Tokenomics 2.0 proposal, represents a decisive shift away from growth-through-printing and towards growth-through-utility. At its core, the proposal is about aligning incentives with reality and building an economic model that rewards contribution, not dilution.

4. The Year of AI: Where Everything Changed

At the start of the year, we released our Year of AI Roadmap — a commitment to transform blockchain data from something you query… into something you understand.

Throughout the year, that vision came to life.

AI-Assisted Development

Introducing the SubQuery GraphQL Agent
With the launch of the GraphQL agent, developers can now get AI-generated query insights, drastically reducing time spent debugging schemas or writing complex queries.
Build Indexers with AI (MCP Integration)
Our integration into the Model Context Protocol ecosystem enabled developers to create or modify entire indexers through natural language guidance. Indexer development became faster, more intuitive, and more accessible.

AskSubQuery: A Breakthrough in Blockchain Intelligence

In December, we introduced AskSubQuery in closed beta — a big leap forward in our product history.

AskSubQuery lets anyone explore blockchain data using plain, natural language.

No GraphQL.
No schemas.
No developer knowledge required.

It’s the first step toward a world where blockchain data isn’t just indexed — it’s understood.

5. A Glimpse Into 2026: The Next Era of AI x Web3

We didn’t want to end 2025 without hinting at what comes next.

Throughout December, we dropped subtle clues about an upcoming launch of a major AI-powered product. In January, we’ll reveal what those hints were pointing to.

This marks the beginning of a deeper fusion between AI and blockchain data — one where SubQuery becomes the intelligence layer that connects the two.

Final Thoughts: From Indexing to Intelligence

2025 was the year SubQuery moved beyond being an indexing protocol and became the intelligence infrastructure for Web3. We unlocked long-awaited Solana support, expanded to 300 networks, delivered major network upgrades, evolved SQT’s economics, and introduced AI products that change how people access blockchain data.

As we head into 2026, our goal is clear: to turn SubQuery into the most powerful, intuitive, and intelligent data layer in Web3 — one that developers, users, and AI systems rely on every day.

About SubQuery

SubQuery Network is innovating web3 infrastructure with tools that empower builders to decentralise without compromise. SubQuery’s infrastructure network offers both data indexers and RPCs — fully decentralised, production-ready, and designed for scale.

Our fast, flexible, and open data indexer supercharges thousands of dApps on nearly 300 networks. Through innovations like AI-assisted development via the SubQuery SDK and Model Context Protocol (MCP) integration, SubQuery is making it easier than ever to build, deploy, and maintain blockchain indexers. We’re not just a company — we’re a movement driving an inclusive and decentralised web3 era, together.

Introducing AskSubQuery — AI That Answers Your Blockchain Questions

SubQuery Network — Mon, 08 Dec 2025 09:02:14 GMT

Introducing AskSubQuery — AI That Answers Your Blockchain Questions

Today, we’re excited to officially launch AskSubQuery, a breakthrough AI-powered platform that lets anyone explore blockchain data using plain, natural language. No more writing complex GraphQL queries, deciphering schemas, or navigating technical barriers — AskSubQuery makes blockchain data as easy to access as chatting with an assistant.

AskSubQuery is powered by our GraphQLAgent MCP (Model Context Protocol) Service — the first platform designed specifically to bring AI-native querying to SubQuery and The Graph Protocol data sources.

Launching now in closed beta, this is the next evolution of blockchain indexing: instant answers, intuitive conversations, and intelligent insights.

Turning Natural Language Into Blockchain Intelligence

Imagine asking:

“What wallets interacted with this contract last week?”
“Show me the top liquidity providers for my protocol.”
“Which NFTs were minted today?”

Instead of constructing queries, defining filters, or scrolling through schema docs, AskSubQuery interprets the question, generates the right GraphQL query, executes it against your SubQuery or The Graph endpoint, and explains the results.

You don’t see the complexity — just the answer.

Under the hood, the AI automatically analyses your project’s schema, understands relationships between entities, and constructs queries that would normally require experience and time. For developers, it removes friction. For analysts and founders, it unlocks instant insights. And for anyone curious about blockchain data, it makes exploration as simple as conversation.

Works Across Your Existing Data Sources

AskSubQuery supports both SubQuery projects and The Graph subgraphs, allowing users to connect multiple endpoints and switch between them effortlessly. This means you can combine insights across different chains, protocols, and indexing solutions — all from the same interface.

Teams already using SubQuery or The Graph don’t need to migrate or change anything. AskSubQuery simply becomes the conversational layer on top of your existing data.

Built for Real Workflows, Not Just Demos

A major goal of AskSubQuery is to make blockchain data more accessible, not only to individuals but to entire teams and applications. The platform includes tools to manage multiple endpoints, customise how the AI interacts with each project, and integrate the GraphQLAgent MCP directly into other AI agents and developer workflows.

Results stream in real time, making it easy to iterate quickly, explore large datasets, or use AskSubQuery as part of debugging or development. Behind the scenes, the service is powered by a combination of OpenAI models, LangChain orchestration, and deeply specialised blockchain knowledge.

AskSubQuery isn’t just an interface — it’s an intelligence layer for Web3 data.

Flexible Access for All Users

We want AskSubQuery to be accessible for everyone, from casual explorers to heavy-usage teams. The platform launches with a simple, credit-based system:

A generous free tier for experimentation
Optional SQT token boosts for increased daily usage
Pay-as-you-go credits for those who rely on AI for day-to-day development or analysis

It’s straightforward and designed to grow with your needs.

Early Access: Closed Beta Launch

AskSubQuery is launching today in closed beta, giving our community a first look at this new AI experience before it opens to the public. During this period, access is limited to users with an exclusive beta code. These codes will be shared through a few key channels: attendees of our community events such as calls and X Spaces, our network of more than 300 partners, and a select group of trusted KOLs. If you’re active in the SubQuery ecosystem, there are plenty of opportunities to secure early access and start exploring AskSubQuery ahead of everyone else.

Get involved in our community to get an early access code, then head to asksubquery.xyz to get started. No setup, no query writing — just real blockchain insights, delivered conversationally.

About SubQuery

SubQuery Tokenomics 2.0: A Letter on Sustainability, Maturity, and What Comes Next

SubQuery Network — Fri, 05 Dec 2025 09:02:20 GMT

From Ian He, CTO & Co-Founder of SubQuery

When SubQuery first launched, inflation was a conscious choice.

Like many early-stage networks, we needed a mechanism that could rapidly bootstrap participation, attract Node Operators, and incentivise the behaviours required to bring the network to life. At that stage, inflation wasn’t a flaw, it was a tool. A necessary one.

But networks, like products, must evolve. And over time, it became clear that the same mechanism that helped SubQuery grow was no longer serving its long-term health.

Under our current model, SubQuery operates with a 1% annual inflation rate. Compounded, this results in more than 100 million new SQT tokens being minted every year. A significant portion of this inflation (about 70%) remains undistributed, creating silent dilution for token holders without corresponding increases in real economic activity. More importantly, rewards have become increasingly disconnected from actual network usage and value creation.

It was not the foundation of a sustainable economy.

Why We’re Changing

We launched mainnet in February 2024, we’re almost 2 years on and SubQuery is no longer a network in its infancy:

Total Eras: 94
Total queries served: 18,895,840,356
Total rewards distributed: 70,377,101 SQT
Historical uptime: 99.98%

We are operating real infrastructure, supporting real workloads, and generating real usage across ecosystems. Tokenomics should reflect that reality.

The objectives are simple and deliberate:

Eliminate token inflation entirely
Fix the total supply of SQT
Increase true community ownership
Strengthen long-term value accrual
Absorb network usage risks via the foundation

This is not a cosmetic change, it’s a structural maturation of the SubQuery network.

What Tokenomics 2.0 Changes

1. Zero Inflation, Immediately

Under Tokenomics 2.0, network inflation will be reduced to 0%.

Token minting will be permanently disabled, fixing total supply at 10.2 billion SQT. No more printing. No inflationary pressure undermining the long-term incentive alignment of the ecosystem.

This marks a fundamental change in how value is created and preserved within SubQuery.

2. From Inflation to Revenue-Backed Rewards

Rewards will transition from being sourced through token emissions to being funded through actual network economics.

This occurs in three phases:

Phase 1: Foundation-backed rewards
Existing Foundation reserves will be used to fund rewards, using already-circulating tokens rather than newly minted supply.
Phase 2: Hybrid transition
Gradual integration of protocol revenue from fees, premium services, and enterprise tiers alongside Foundation support.
Phase 3: Fully revenue-backed model
Operator rewards are sustained primarily through protocol revenue, with Foundation reserves acting as a stabilising buffer.

This transition ensures continuity of rewards while moving the network toward a self-sustaining economy grounded in real demand.

3. Increasing Community Ownership

As Foundation-held tokens are distributed through rewards rather than retained, the proportion of tokens owned by the broader community naturally increases.

This results in:

Reduced Foundation dominance over supply
Greater decentralisation of economic power
Stronger alignment between network participants and governance outcomes

In practical terms, this means the network becomes more community-owned with each reward cycle.

The Economic Principles Behind This Shift

Tokenomics 2.0 is guided by four core principles:

Sustainability
Rewards scale with network usage and adoption, not arbitrary emission schedules.

Value Accrual
SQT value becomes directly tied to the success of the SubQuery Network and its revenue-generating activity.

True Decentralisation
Ownership and economic power migrate further into the hands of the community.

Market Efficiency
Incentives reward contribution and performance, not token dilution.

This is how long-term networks are built: by aligning economic mechanics with real-world health indicators.

What This Means for the Network

For Node Operators, not much is changed. For token holders, value is no longer eroded by constant supply expansion. For the ecosystem as a whole, incentives become clearer, more rational, and more defensible over time.

This approach also enables stronger long-term mechanisms for value support, including revenue reinvestment and buyback programs that reinforce network stability and token price integrity.

Implementation & Safeguards

This transition will be implemented pragmatically to protect operator stability and avoid reward disruption.

Token minting will be permanently disabled by setting the Ethereum mainnet SQT contract minter to the zero address.
Total supply will be locked at 10.2 billion SQT.
Automated treasury monitoring will ensure that when reward reserves fall below 30 million SQT, Foundation allocations provide continuity.

This ensures the network remains stable throughout the transition while we progressively shift to a fully revenue-backed reward system.

A Network That Has Grown Up

Tokenomics 2.0 is not about removing incentives. It is about making them real.

We are moving from a model designed for bootstrapping to one designed for permanence — where rewards are earned through genuine utility, where ownership reflects participation, and where value grows in step with adoption.

This is what it looks like when a network grows up.

And we believe it is the strongest signal we can send that SubQuery is here not just to scale, but to endure.

Ian He
CTO & Co-Founder, SubQuery

Turning Bitcoin Activity into Rewards: A Case Study on SatLayer

SubQuery Network — Tue, 02 Dec 2025 02:41:09 GMT

SatLayer is positioning itself as the economic layer for Bitcoin, enabling the world’s most trusted asset to become fully programmable collateral. Through its Cube by SatLayer LST (Liquid Staking Token) product on Babylon Genesis, SatLayer is building infrastructure that extends Bitcoin’s capital efficiency across new financial primitives.

To support this vision, SatLayer requires reliable, real-time blockchain data to power its analytics infrastructure and user-facing rewards program. This is where SubQuery plays a critical role, delivering flexible indexing and querying capabilities across complex multi-chain environments.

This case study explores how SatLayer called upon SubQuery to index critical transactional data, streamline points calculations, and enhance user experience.

The Challenge

SatLayer’s rewards ecosystem depends on accurately tracking and processing transactional activity on the Babylon Genesis network. This data feeds directly into the SatLayer Rewards Program, where users earn Sats² points across multiple seasons based on participation and behaviour.

The core challenges included:

Indexing high-volume transaction data from Babylon Genesis
Processing historical and live data for multiple reward seasons
Ensuring accuracy and transparency for users viewing their points
Operating within the Cosmos ecosystem, where indexer tooling and support are limited

Without a robust indexing layer, calculating and distributing rewards at scale would become resource-heavy, error-prone, and difficult to maintain.

Why SubQuery?

SatLayer chose SubQuery as its indexing solution due to its ease of implementation and strong support for complex blockchain environments.

“SubQuery was easy for our engineering team to configure and index the required on-chain data, especially for blockchains within the Cosmos ecosystem like Babylon Genesis.”

– Jia Jian Goi, Product Manager at SatLayer

Key reasons for choosing SubQuery included:

Fast and reliable indexing of Babylon Genesis transactions
Developer-friendly setup and configuration
Flexibility for evolving data requirements
Support for Cosmos-based ecosystems where alternatives are limited

SubQuery provided the infrastructure SatLayer needed to focus on building its economic layer, rather than managing data pipelines.

Key Metrics at a Glance

Indexed Network: Babylon Genesis (Cosmos-based)
Primary Use Case: Points calculation and distribution for Cube by SatLayer’s Rewards Program
Product Powered: Cube by SatLayer (BABY LST)
User Interface: https://cube.satlayer.xyz/
Data Usage: Historical and live transaction data across multiple seasons
Ecosystem: Cosmos-based + Babylon integration
Users: More than 4,500 users have accessed Cube by SatLayer powered by the SubQuery API
Entities Indexed: Cube LST indexer has 8,593 entities and SatLayer indexer has 1,232 entities.

The Role of SubQuery in SatLayer

SubQuery acts as the backbone of SatLayer’s data processing layer for Babylon Genesis, enabling seamless extraction, transformation, and utilisation of blockchain data.

What’s being indexed?

SatLayer uses SubQuery to index transaction data from the Babylon Genesis network, specifically related to activity tied to Cube by SatLayer. This data directly informs how Sats² points are calculated and distributed.

How the data is used

Indexed data (via SubQuery) flows into SatLayer’s internal points processing service, which evaluates user participation across different reward seasons. This processed data is then surfaced to users via the Cube dashboard, allowing them to view their accumulated points and track progress in real-time.

Explore Indexers

Developers and community members can explore SatLayer’s live indexers here:

Cube LST Indexer
https://explorer.subquery.network/subquery/satlayer/cube-lst
SatLayer Core Indexer
https://explorer.subquery.network/subquery/satlayer/satlayer

Visual Architecture

Example SubQuery GraphQL queries

The below query gets all the snapshots of a user (bbn1zvesudsdfxusz06jztpph4d3h5x6veglqsspxns2v2jqml9nhywsv7g40m). The query will return the snapshot id, the users address, the amount of the order and the order id.

Here is the data returned from the example query:

Cube dashboard interface

Below is the Cube dashboard UI which is being powered by the above queries to access reliable and accurate on-chain information.

These visuals demonstrate how on-chain data flows from Babylon Genesis through SubQuery and into SatLayer’s user-facing platforms.

The Road Ahead for SatLayer

SatLayer continues to expand its roadmap as it evolves into Bitcoin’s programmable economic layer, focusing on scalable, secure, and user-centric financial innovations. While leveraging strategic partnerships such as SubQuery for reliable data processing when needed, SatLayer is primarily driving its protocol development, ecosystem integrations, and reward program enhancements to unlock Bitcoin’s full economic potential and incentivize user participation.

Conclusion

By integrating SubQuery into its data infrastructure, SatLayer has established a scalable, efficient, and developer-friendly indexing solution that powers its rewards program and user experience.

In the Babylon genesis network (a Cosmos environment), SubQuery delivers the reliability required for SatLayer to confidently scale its operations and bring Bitcoin closer to becoming fully programmable collateral.

This partnership highlights how robust data indexing is not just a backend requirement — it is a foundational layer that enables innovation, transparency, and trust in next-generation financial systems.

About SubQuery

About Satlayer

The new financial system, built on Bitcoin: SatLayer is the economic layer for Bitcoin, making the best asset now fully programmable.

Bitcoin isn’t idle gold anymore. SatLayer leverages restaking primitives to evolve Bitcoin into an active reserve asset, anchoring secure, capital-efficient DeFi and RWA systems. As the only restaking partner for Sui and Berachain — and the exclusive restaking partner of Babylon Labs — SatLayer collaborates with top revenue-generating projects to develop use cases like on-chain insurance and liquidity float, driving real and sustainable yield.