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PressChain
For AI Platforms

News that knows where it came from.

Ingest journalism with its evidence, corrections, and source lineage already attached. AI systems that train on PressChain data get structured, provenance-rich context → not stripped-down articles.

Who it's for

AI labs and platforms that want media data carrying its own provenance, corrections, and trust signals.

Why it matters

What this gives you.

Source context included

Every record carries who published it, what evidence supported it, and when it changed.

Evidence included

Source documents, images, and data are attached to the record → not stored separately.

Corrections tracked

When a story is corrected or retracted, that event is in the record too.

TrustScore signals

Each record comes with a TrustScore signal calibrated from real on-chain events.

Structured output

Clean, machine-readable records designed for ingestion, not just reading.

Provenance graphs

Follow any claim back to its original source and see every step in between.

How it works

How AI platforms use PressChain data.

1

Ingest

Pull provenance-rich records via the API.

2

Weigh

Factor in TrustScore and evidence.

3

Cite

Answer with sources, respecting corrections.

Build accountable AI on verifiable media.