Let AI agents buy —
without losing control.
AgentClear turns structured RFQs into a deterministic trust pipeline: every autonomous award is checked against agent mandate and organization policy, produces a tamper-evident receipt, and routes exceptions to human approvers.
Autonomous purchasing is outrunning the controls it needs.
AI agents can already draft RFQs, evaluate quotations and award contracts. What organizations lack is a deterministic layer that verifies each transaction against mandates, policies, supplier trust and human approval — before value moves.
Governed structured RFQs
Publish structured RFQs with explicit budget, delivery, warranty and compliance criteria. Natural-language drafting is on the roadmap.
Deterministic clearing
Every award is checked against agent mandate, organization policy, supplier verification and risk score before it can move.
Human approval
Transactions outside an agent's mandate route to the correct approver with the full context and a written reason.
Tamper-evident receipts
Every material decision produces a clearance receipt with a SHA-256 hash verifiable on a public page.
One pipeline. Deterministic controls.
- Step 01Publish a structured RFQ
- Step 02Suppliers submit structured quotes
- Step 03Clear against mandate & policy
- Step 04Route exceptions to human approvers
- Step 05Award, audit, verify
Built for agents and humans
Public read-only endpoints for the marketplace feed and receipt verification ship today. A fully authenticated REST API with idempotency keys and signed webhooks is on the roadmap.
Read the API docsSecurity by construction
- Row-level tenant isolation on every table
- Append-only clearance receipts, SHA-256 hashed server-side
- Platform-admin role never self-assignable from the client
- Atomic onboarding + award RPCs — no self-join, no clearance bypass
Ship agentic procurement — safely.
The MVP is free in Sandbox. Bring an agent, a mandate and one RFQ.