Custom data
Any public dataset. Cleaned, validated, delivered.
We fetch, clean and deliver the public data your team loses hours to. Compliant sources only.
From source to your table
Source
Government portals, filings, registries, open APIs, CSV dumps
Collect
Within the source's terms, at a pace it allows
Clean
Types, duplicates, encodings, units, entity names
Check
Totals and row counts against the source
Deliver
Once, or on a schedule you pick
Raw source
| company | rate | date |
|---|---|---|
| JPMorgan Chase & Co | 5,25% | 03/04/26 |
| JP Morgan Chase | 5.25 | 2026-4-3 |
| jpmorgan-chase | N.A. | 04/03/2026 |
| Ｊpmorgan (fullwidth) | 525bps | Apr 3 |
Delivered
| entity_id | entity_name | rate_pct | date |
|---|---|---|---|
| JPM | JPMorgan Chase & Co. | 5.2500 | 2026-04-03 |
| 4 rows merged into 1 · 1 null documented · row count matches the source | |||
What we take on
Fetch & structure
An agency publishes 400 PDFs a year. We turn them into one table and keep up when the format changes.
Clean & reconcile
Entity name normalization, dedupe, unit conversion, schema enforcement. Every null documented, never silently dropped.
Keep it fresh
Scheduled refresh with monitoring. You get alerted when the source changes shape, not surprised by silent breakage.
Two ways to engage
The cleaned dataset delivered once as CSV, JSON, or Excel, with documentation of every transformation and every null. You own the file; the engagement ends when you sign off.
We run the pipeline on a schedule, monitor freshness, and deliver via API, Postgres direct, or scheduled file drops. When the source changes shape, we fix it. You never notice.
We read a source's terms before we scope the work, we respect robots.txt, and we don't collect personal data or anything behind a login. You shouldn't have to worry about where your data came from.
If a source can't be collected cleanly, we'll tell you before any work starts.
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live datasets
All public and live. Browse the free market data.
Need a whole system, not a dataset? We also build pipelines, agents and full products
Describe your dataset
Source, fields, date range, delivery format. A rough sketch is fine. We'll reply with a scope after we've looked at the source.