Permanent identity
A governed subject, target, forecaster, and receipt digest identify exactly which prediction is being discussed.
Publish forecasts from people, statistical models, and AI in one inspectable library. Give your audience a permanent link to what you predicted, when you predicted it, and the evidence behind it.
Where Forecast Library began
The original Open Forecast Receipt demo: a forecast, a portable record, and an independent integrity check.
Watch on YouTubeLive public catalog counts. Proof status is reported without implying accuracy.

One forecast. One digest. An independently inspectable anchor.
Evidence your audience can check beyond this website.
Choose an optional public blockchain anchor when submitting your forecast receipt. Anyone can compare the downloaded record with its onchain digest and inspect the attestation, issuing address, transaction, and anchoring time.
The integration supports Base mainnet and Base Sepolia testnet; every issued proof identifies its actual network. A receipt is only labelled verified when its onchain proof has been checked. Retrospective anchoring proves existence by the later anchoring time, not by the original forecast date. It does not prove accuracy or authorship.
Request blockchain proof with your submissionForecast Library grew out of Open Forecast Receipt, an open-source initiative to make a prediction portable, inspectable, and independently verifiable. Its scope is forecasting science across domains, from markets and weather to demand and scientific research, including human, quantitative, and AI forecasts. iPulse AI is a separate financial-market research product and our first live publisher. Other domains will need their own reviewed receipt profiles.
Human judgment, statistical models, ensembles, and AI all contribute to forecasting. We expect increasingly capable AI to play a larger role, but the Library is designed around the forecast and its evidence, independent of who or what produced it. Our ambition is a shared record that people and research agents can both use.
That vision includes Agent-to-Agent (A2A) collaboration and other agentic workflows. Today, developers can use the open receipt schema, deterministic verifier, and public receipt JSON API. Automated agent integrations and broader evaluation workflows are the next direction.
Reports get revised. Dashboards change. Forecasts disappear into posts and spreadsheets. Preserve the original prediction, method, assumptions, and timing so your audience can return to the same record later.
A permanent receipt gives your forecast a reference your audience can cite, download, and independently verify.
Documentation does not make a forecast correct. It makes honest reconstruction, comparison, and evaluation possible.
A governed subject, target, forecaster, and receipt digest identify exactly which prediction is being discussed.
Creation, knowledge boundaries, supplied context, publication, maturity, and evaluation remain separate dates.
Preserve the method, assumptions, source evidence, and relevant model or code versions behind a forecast.
Canonical JSON produces a deterministic digest. Corrections are append-only records instead of silent rewrites.
Map the subject, target, forecaster, predicted values, time map, and provenance into the open format.
Canonicalize the receipt, compute its SHA-256 digest, and publish the browse projections.
Anchor that individual receipt digest onchain and link the returned attestation without rewriting it.
After the horizon matures, append the governed outcome and evaluation while preserving the original.
Future Edge Group FZE operates the Library and publishes the open-source receipt standard. iPulse AI is the first production client, contributing a real public collection rather than a hand-picked mock demonstration.
Give clients and readers a permanent link to your original prediction, whether you forecast personally, with statistical models, or with AI.
Keep the original values, dates, assumptions, and evidence available for later comparison with outcomes.
Download structured JSON and verify its digest with an open-source toolkit. Keep your integration independent of page layouts.
Let anyone inspect your public record without an account. Request independent blockchain anchoring when extra traceability matters.
Contact support with your forecast values, subject, target, dates, method, and public evidence. Use our submission checklist or provide an OFR JSON receipt. Support reviews publication rights and format compatibility before listing.
Open Forecast Receipt v0.1.0 uses JSON Schema, RFC 8785 canonicalization, and a SHA-256 payload digest. The live profile covers financial forecasts; human and statistical submissions are welcome for review, while other domains may require a new versioned profile.
The receipt contains one forecast and its declared provenance. It is not an AI chat-history, agent-memory, or hidden chain-of-thought upload. Permanent forecast IDs and digest-addressed JSON remain stable when navigation or presentation changes.
Direct answers about receipts, verification, blockchain proof, evaluation, and governance.
Forecast Library is a public, browsable library of forecast subjects, forecasters, forecasts, receipts, integrity checks, optional blockchain proofs, and later evaluations. It is built on the Open Forecast Receipt standard.
An Open Forecast Receipt is a portable, structured record of one forecast. It preserves what was predicted, who or what produced it, when it was generated, the relevant knowledge and input-context boundaries, provenance, and a deterministic integrity digest.
An optional blockchain attestation can establish that a particular receipt digest existed by an anchoring time and has not changed. It does not prove that the forecast is accurate, truthful, unbiased, or based on good reasoning.
No. Every receipt can be verified locally from its canonical data. Blockchain anchoring is an optional, independent proof layer for selected receipts.
No. Markets and AI forecasters are the first live use case. The subject–target–forecaster–forecast–receipt structure can also describe human, quantitative, ensemble, and hybrid forecasts in other domains.
Only after its defined horizon or target has matured. Evaluation is appended as a separate record so the original forecast remains unchanged.
Yes, but never silently. A correction receives its own identity and digest and references the record it corrects, preserving the audit trail.
Forecast Library is operated by Future Edge Group FZE and first used by iPulse AI. During this phase, public submissions are coordinated by email at support@ipulseai.com; no account or payment is required.
Forecast Library grew out of Open Forecast Receipt, an open-source initiative for portable, verifiable forecast records. Our ambition is for research agents to exchange receipts, preserve provenance across handoffs, and append evaluations when outcomes become known, including through Agent-to-Agent (A2A) workflows. The open schema, verifier, public library, and receipt JSON API are available today; automated agent integrations are a future direction.
Public browsing needs no account. To propose a public submission during this phase, contact the Library team directly.