FaaStr Facts & Data

Capture facts, research, and data from the web into a local, auditable claims registry — traced to source, versioned, attested.

FaaStr Facts & Data is a provenance and records system for the claims you publish. Highlight a claim, stat, or research finding on any page and capture it as a fact record: the canonical wording, the primary source it derives from, the method behind it, who owns and approved it, its version history, freshness, and everywhere it is published. The registry never asserts that a claim is true. It computes four independently checkable status flags — traced, sourced, current, approved — and names exactly what is missing. A built-in audit engine (24 coded checks) scores each record's completeness, catches drift between the registry and your published wording, and flags near-duplicate claims. Everything stays on your device: records in local browser storage, with Parquet snapshots of the catalog. Export the whole registry for AI agents and data tooling in one zip: a JSON bundle, Open Knowledge Format Markdown docs, and a DuckDB-loadable Parquet lake with SQL catalog.