LimitGuard Reputation Score with Bayesian Trust Decay is a paid API for AI agents from api.limitguard.ai, paid per call via x402, $0.65/call, status unknown (last checked 2026-10-30).
Returns a reputation score with Bayesian trust decay analysis, confidence intervals, and trend for a named entity based on prior trust data
Reputation scoring with linear trust decay: after its first week a score loses 2-5 points a week by risk cluster (none for a sanctions-flagged entity), plus a bonus of up to 5 points for repeat verifications.
Returns a numeric reputation score (0-100), a confidence value (0-1), a trend indicator (e.g. 'stable', 'declining', 'improving'), and a verification count reflecting how the entity's trust has evolved over time under Bayesian decay modeling.
POSThttps://api.limitguard.ai/v1/reputation/score?utm_source=zero.xyzUse this endpoint when you have prior trust data for an entity (existing trust score, cluster, and verification history) and need a temporally-decayed, Bayesian-updated reputation score with a confidence interval and trend — rather than a fresh full entity check from scratch. Ideal for periodic re-scoring of known counterparties rather than first-time entity lookups.
| Field | Type | Description |
|---|---|---|
| cluster | string | Current cluster assignment. Send with trust_score to skip auto-computation |
| country | string | ISO 3166-1 alpha-2 country code. Required unless trust_score and cluster are both sent; the score is then computed from sanctions and jurisdiction |
| agent_id | string | ERC-8004 agent ID for verification |
| entity_name | string | Legal entity name |
| trust_score | integer | Latest trust score (0-100). Send with cluster to skip auto-computation |
| last_verified_at | number | Unix timestamp of last verification (defaults to now) |
| verification_count | integer | Times entity verified |
{
"type": "json",
"example": {
"trend": "stable",
"confidence": 0.87,
"reputation_score": 92,
"verification_count": 12
}
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