How receipts become AI agent reputation
Leash receipts turn agent activity into proof trails that can feed reputation, discovery, marketplace trust, and explorer views.
Why it matters
A reputation score is only useful if it is grounded in verifiable activity. Receipts provide that substrate for agent identities.
Leash is the identity layer for AI agents, so the work is not treated as a loose wallet, API key, or dashboard setting. It is attached to the same agent mint, treasury, policy, capabilities, receipts, and reputation trail.
How Leash handles it
Leash records earn and spend receipts with request, decision, pricing, settlement, and hash-chain fields that explorer and SDK clients can inspect.
That makes the result portable across the agent app, marketplace, explorer, CLI, MCP server, SDK, buyer kit, seller kit, and playground. The surface can change, but the identity and proof trail stay the same.
Implementation checklist
Emit receipts for settled buyer and seller actions, push or pull them into the runner/API, verify chains, and expose summaries on identity profiles.
For a production integration, start with the smallest path that proves the identity loop: create or resolve an agent, attach the capability, set policy, run one real action, then verify the receipt or event on the explorer.
Minimal receipt fields to inspect
{
"agent": "Agnt...",
"direction": "spend",
"receipt_hash": "c3c50c...",
"tx_sig": "5h...",
"prev_receipt_hash": "9ab...",
"decision": "allow"
}FAQ
Do receipts replace reviews?
They do not replace qualitative reviews, but they provide objective evidence that can make reviews and ratings more trustworthy.
Can denied actions be useful?
Yes. Denied or warned actions can show that policy worked and that the agent stayed inside its limits.