ProofRail

AI commerce

Commerce is becoming agent-mediated

When software agents discover, compare, authorize, purchase, receive, and resolve products, merchants need a record that connects human intent, delegated authority, agent action, merchant representation, payment, fulfillment, and outcome.

Planned and research capabilities unless marked otherwise. Not a claim that agentic commerce modules are generally available today.

Problems

Five problems agentic commerce creates

Authorization, intent, merchant truth, agent identity, and accountability each need a durable record.

  1. Authorization. Who permitted the agent to spend, renew, cancel, or refund - and under what limits?
  2. Intent. What commercial outcome did the human or organization actually request?
  3. Merchant truth. What offer, price, and terms were presented as authoritative at decision time?
  4. Agent identity. Which agent, operator, model family, and tools participated?
  5. Fulfillment and accountability. What was delivered, used, disputed, or resolved afterward?

Chain

The ProofRail transaction chain

An illustrative path from human intent to resolution. Explore each node for actor, authority, evidence, and failure modes.

Illustrative workflow. AI-commerce capabilities are planned or research unless marked otherwise.

Modules

Planned ProofRail components

Status labels come from the canonical catalog.

PlannedAI commerce

ProofSource

A merchant truth layer for offers, facts, and contradictions.

Digital merchants / Developers

  • Offer Manifest
  • Truth Api
  • Contradiction

API usage / Included in plan

Explore ProofSource

Privacy and human control

Agentic commerce modules are designed around mandates, human approval thresholds, selective disclosure, and explicit escalation - not opaque autonomous spend.

Join the betaEmail sales@proofrail.siteDevelopers