Attest is the claim layer of the agentic enterprise.

Your agents are only as good as what they know. Attest sits between your data and your agents - turning everything your team writes down into claims they can cite, update, and retract.

86M biomedical claims / 1.3M/sec ingest / 30+ connectors / Apache 2.0 / Python + Rust
Agents & Copilots
Claude Code Cursor LangGraph Custom agents MCP clients
Attest - the claim layer
Claims Provenance Contradictions Retraction Confidence Skills 150+ MCP tools Auto-built agents
Data sources
Slack Jira Gmail Notion GitHub Postgres Confluence Zendesk … 30+
What this unlocks

Four guarantees agents can build on.

Agent-readable
Answer claim source

Every answer is the visible end of a chain. No opaque retrieval. An agent or a human can step through it.

See it on a biomedical corpus →
Order from chaos
$500K $450K conflict surfaced

Two sources disagree. Both preserved with timestamps. The conflict shows up where someone can resolve it.

See a customer-success example →
Trust that updates
Source revised 43 dependents flag

A withdrawn paper, a revised policy, a flipped score. Every dependent answer lights up the same minute.

See the AI trust walkthrough →
Governed agents
scope=legal 412 claims · others: 0

Each MCP tool sees only the claim slice it's scoped to. Provenance also governs access.

See the Attest Brain →

Where Attest sits vs. adjacent tools

Mem0 and Zep are good for chatbot memory. Letta adds stateful agent scaffolding. Vector DBs index documents. Attest is built for enterprise truth - claims with provenance, contradictions, and retraction - so agents acting on real work don’t drift. See the full capability comparison →

Slot Attest into your stack in 60 seconds.

One pip install, one claim, one query. The rest is the same data primitive at every layer of your agentic stack.

Try the live demo Read the quickstart