Agentic Integrations

Give an AI agent verified data and a retrievable evidence trail, so its actions are auditable rather than taken on trust.

An Agent Is Only As Trustworthy As Its Inputs

An agent acting on document data needs the data verified and the provenance retrievable, or its action cannot be audited. Staple exposes verified fields with confidence, the distinction between extracted and inferred values, reconciliation results with explained discrepancies, and a per-field audit trail an agent can query.

Available Today, Honestly Labeled

Agentic capability is available through the API today. Model Context Protocol (MCP) support is on the roadmap, not shipped, and is labeled as such. Nothing here implies a deployed autonomous product that does not exist.

A Machine-Readable Safety Property

The extracted-versus-inferred distinction is machine-readable, so an agent does not treat an inference as a read fact. Audit Readiness keeps the trail behind every value, and ISO 42001 alignment supports the explainability claims for AI-driven processing. See the certification posture in the Trust Vault.

Scope

Staple gives an agent verified inputs and evidence. It does not make the business decision on the agent's behalf. Pair it with Embedded Data Verification & Reconciliation for explained exceptions.

Talk to Our Team

Discuss an agentic integration, or read the developer documentation.