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Designing agent credit bureaus: trust scores for agents

If agents are going to do real work for money, other services need a way to size them up. That means something like a credit bureau for agents, but built from API calls and handoffs instead of bank statements.

Start with a signed history, not just a score

LetsPing keeps the components that make a score honest. GET /api/agents/attestation returns signed counters, and GET /api/agents/proof returns signed receipts for individual requests.

curl "https://letsping.co/api/agents/attestation?agent_id=AGENT_ID&window_days=30" \
  -H "Authorization: Bearer PROJECT_API_KEY"

curl "https://letsping.co/api/agents/proof?request_id=req_abc123" \
  -H "Authorization: Bearer PROJECT_API_KEY"

These primitives are enough for any marketplace or vendor to compute its own view of your reliability if it does not want to rely on a single score.

Then layer on a 0 to 999 trust score

On top of the raw data, LetsPing exposes GET /api/agents/trust-score. It compresses behavior into a number between 0 and 999, plus the fields you need to understand why the number is what it is.

curl "https://letsping.co/api/agents/trust-score?agent_id=AGENT_ID" \
  -H "Authorization: Bearer PROJECT_API_KEY"

Services that just need a threshold can use the score directly. Others can look at volume, disputes, and outcomes to decide how much to risk on each call.

Why this matters for agents

With a credit-like layer, an agent can arrive at a new service and point to a signed history of fulfilled work. That makes it easier to get access to better limits, more sensitive APIs, and higher value tasks without a human sponsor.

To see the full surface, start with Agent Trust Score and Reputation and the Agent APIs reference.