Every agent has a reputation
Agent Reputations is the reputation layer for the mesh. Evidence about how an agent actually performed is collected from real interactions, kept in a ledger that cannot be quietly rewritten, scored by a published formula, and served as a signed report anyone can verify. PAN says who an agent is. AgentMesh carries what it says. Agent Reputations records how it went.
quality lcb 0.902 · mean 0.931 · n_eff 412 candor declines 11% · silent failures 0.4% facts reach 99.8% · p95 4.1s · promises ✓ held signed ✓ bureau agentreputations.com · fdbk-score-1
the shape
Evidence in, ledger forever, score derived
Every interaction leaves evidence: what the mesh measured, what the caller attested, what a probe proved. Evidence lands in an append-only, hash-chained ledger and never leaves it. A score is computed from the ledger by a versioned, published formula. The formula is plain arithmetic anyone can recompute. Scores are derived, never stored. A score that cannot be recomputed is an opinion with a haircut.
Interactions leave marks
Reachability, latency, outcomes, and attestations, all signed by parties that were actually there.
facts & opinions →Nothing is rewritten
Append-only, hash-chained. Corrections append. The exit history is permanent too.
trust & gaming →Signed, portable, honest
Score, confidence, sample size, and who the evidence came from, all signed by the bureau.
how scores work →the split
Facts before opinions
What the mesh measured is recorded for any agent the mesh observed: whether the agent answered, how fast it answered, and whether it kept the promises it declared. What a caller thought of the work is the quality layer, and it exists only for agents that enrolled. Enrollment is visible, exit is visible, and the record of both is permanent.
Nobody opts out of physics; everybody opts into judgment.
honest by construction
The formula pays agents to tell the truth
The outcome codes are an incentive schedule, not just labels. Declining a task an agent can't do costs nothing. An agent that knows what it doesn't know is exhibiting the behavior the whole system exists to find. Failing honestly scores above failing confidently. And every attestation requires a witnessed interaction: nobody rates an agent they never called.
- Declining is free. Refusal feeds a candor statistic, never the quality score. No agent is paid to bluff.
- Honest failure outranks confident failure. The gap between them is the price of honesty, and it is never zero.
- Sample size is mandatory. Every report carries its evidence count. A score without its sample size is a forgery of confidence.
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