Mercor connects professionals to AI training projects — experts who evaluate, improve, and guide large language models across finance, law, medicine, consulting, research, and engineering. Every expert session, work product, dataset, and evaluation can carry an independent receipt a buyer verifies without relying on platform logs alone.
AFiR signs the session and output layer; OriginProof adds Human-Origin Attestation — a human-conditioned production receipt. Independence is the product: platform logs are useful, but independent receipts travel outside the platform. This is pipeline integrity and provable expert provenance — signed at the session, output, and dataset layers.
Self-serve today — pay with x402, request an activation key, or run a sample receipt. No meeting required; this page is meant to answer the question on its own.
Why independence matters
Both have their place. The difference is who has to be trusted for the record to mean something.
“Our system recorded it.”Useful operational truth — but the buyer has to trust the platform that produced it. The evidence and the interested party are the same entity.
Evidence that verifies outside the platform.A signed receipt a buyer checks against a public key — no need to trust the marketplace’s own assertion. The record travels with the deliverable.
These map onto expert work that already happens. Nothing new to build first — add a signature layer to the pipeline you run today, and the output becomes buyer-verifiable.
Attest that the person who did the work cleared the credential and eligibility bar declared for the task — without exposing the underlying identity documents.
credential_clearanceBind the working session — start, continuity, and completion — so a buyer can see the deliverable came from a coherent, uninterrupted expert session.
session_integrityRecord which tools and models were declared in scope for the task, making undisclosed assistance detectable and costly to conceal — not impossible, detectable.
tools_declaredAFiR emits a receipt for each runtime move; AFiR-Stream covers voice and streaming turns — binding the declared conditions to the actual output the buyer receives.
output_bindingCarry lineage through an assembled dataset or deliverable — which expert conditions produced which rows — so provenance survives packaging and resale.
dataset_lineageBundle the above into a signed package a buyer verifies against a public key, independent of the marketplace. Proof that travels with the work.
signer · ml-dsa-65Once the receipts exist, provenance stops being an internal control and becomes something you can sell. Strategic options to review with counsel — not claims that these ship today.
Certified human-conditioned work as a named product line — a provably human-conditioned process a buyer can price a premium against.
product: OriginProofA portable, signed attestation of an expert’s cleared credentials that follows the work across engagements — reusable, revocable, buyer-checkable.
attestation: portableProve that an expert review conformed to the declared rubric or standard — a signed conformance receipt, not just a score in a dashboard.
review_conformanceA provenance graph for an assembled dataset — every contributing expert condition linked and signed — so a research or model buyer can audit lineage end to end.
provenance_graphAgents purchasing verified human expertise on demand: an agent settles with x402 and receives a signed receipt binding the human-conditioned work it just bought.
agent_settlement: x402See it sign
Click Sign the receipt. Each condition signs in turn and the live receipt fills field by field. Nothing here asserts a verdict — only the attested conditions of production.
Start signing
Every path is self-serve and real. Settle with x402, request an activation key, or open OriginProof and run a sample receipt.
Sources & grounding
Public, organization-level grounding for the framing above. No individuals named; claims are kept to what these public materials state.