DdatumlyCreate dataset
Sample data, minus the hassle

Data that feels
real. Instantly.

Production-quality sample datasets for prototypes, tests, demos, and everything in between.

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Available inJSONCSVSQLAPI
orders.jsonsynthetic
{
  "order_id": "8c12f9b4-24d7-4c9f...",
  "customer": {
    "name": "Maya Chen",
    "email": "maya.chen@example.com"
  },
  "product": "Canvas Weekender",
  "quantity": 2,
  "total": 148.00,
  "status": "shipped"
}
✓ Validated schema1,000 rows
CSV ↓
API ↗
Built for teams at every stage
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Dataset library

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Curated, connected datasets that look and behave like production data—without the privacy risk.

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Define a custom schema and generate realistic, repeatable data in any supported format.

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◫
Commerce

E-commerce orders

Realistic purchases with customers, products, payment states, and order totals.

8 fieldsJSON · CSV · SQL
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◎
SaaS

SaaS users

User accounts with plans, engagement, subscription state, and signup details.

8 fieldsJSON · CSV · SQL
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◇
Commerce

Product catalog

Inventory-ready products with SKUs, prices, stock levels, and categories.

7 fieldsJSON · CSV · SQL
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↗
Finance

Financial transactions

Account activity with merchants, transaction types, currencies, and balances.

7 fieldsJSON · CSV · SQL
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△
Operations

Support tickets

Customer support cases with priorities, agents, categories, and resolution status.

7 fieldsJSON · CSV · SQL
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⌁
Analytics

Web analytics

Page-view events with sessions, devices, traffic sources, and conversions.

7 fieldsJSON · CSV · SQL
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⬡
Sales

CRM pipeline

Linked companies, contacts, and deals — shared IDs stay consistent across rows and bundle tables.

9 fieldsRelational · JSON · CSV · SQL
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▣
Operations

Project tasks

Projects, assignees, and tasks with stable foreign keys — ideal for multi-table fixtures.

9 fieldsRelational · JSON · CSV · SQL
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Deterministic by design

Same seed.
Same data. Every time.

Random fake data breaks tests and ruins demos. Datumly is seeded: pin a seed and a date window, and every request returns byte-identical rows — on your laptop, in CI, and in staging.

  • Flake-free fixtures — snapshot tests see the same data on every run
  • Reproducible bugs — a teammate replaying your seed sees exactly what you saw
  • Fresh by default — windows roll forward monthly; pin dates to freeze forever
run #1 — todayseed=acme-demo
[
  {
    "order_id": "b3542053-60d3…",
    "customer_name": "Priya Nyberg",
    "product": "Vista Water Bottle",
    "total": 21.88
  },
  {
    "order_id": "516a6374-7024…",
    "customer_name": "Clara Eriksson",
    "product": "Nomad Desk Lamp",
    "total": 81.01
  }
]
=
run #2 — next monthseed=acme-demo
[
  {
    "order_id": "b3542053-60d3…",
    "customer_name": "Priya Nyberg",
    "product": "Vista Water Bottle",
    "total": 21.88
  },
  {
    "order_id": "516a6374-7024…",
    "customer_name": "Clara Eriksson",
    "product": "Nomad Desk Lamp",
    "total": 81.01
  }
]
Developer first

Your next dataset is
one request away.

Every dataset is available through a simple API. Choose a template, row count, seed, and format.

Try the live endpoint
Terminal
$ curl "/api/datasets?dataset=saas-users&rows=2"

200 OK · application/json
[{
  "name": "Sofia Martin",
  "plan": "pro"
}, ...]