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TrustLayer Agent Trust Score History
x402
TrustLayer Agent Trust Score History is a paid API for AI agents from api.thetrustlayer.xyz, paid per call via x402, $0.001000/call, status unknown (last checked 2026-09-15).
Returns the full historical time-series of trust score snapshots for a blockchain agent, including trajectory trends and volatility metrics.
Price / call$0.001000
Success—
StatusUnknown
How this service works
Full score time-series for an agent. Returns all historical trust score snapshots, trajectory (7d/30d change), and volatility (standard deviation).
Output
Returns a JSON object containing the chain, agentId, an ordered array of daily trust score snapshots (each with date and score 0-100), the 7-day and 30-day score trajectory (change values), and the volatility expressed as the standard deviation of historical scores.
Example use cases
Monitor agent reputation stability before deployment
“I'm considering partnering with this agent on Ethereum — can you pull its full trust score history so I can see if its reputation has been stable or if there have been any concerning drops recently?”
Identify recovery patterns in agent performance
“Show me the complete trust score timeline for agent base:9204 and highlight whether its score has recovered from any dips — I need to know if this agent is trending up or down over the last month.”
Compare volatility across candidate agents
“I'm evaluating three agents for a critical workflow. Can you get the historical trust scores and volatility metrics for each one so I can see which has the most consistent and reliable reputation?”
Technical details
Endpoint
GEThttps://api.thetrustlayer.xyz/history/base:1378When to prefer
Use this endpoint when you need the full historical trust score time-series for an agent rather than just the current score. Ideal for trend analysis, detecting score drops or recoveries, assessing score stability over weeks or months, or comparing an agent's past and present reputation before engaging with it. Prefer this over the basic score endpoint when longitudinal data, volatility, or trajectory (7d/30d change) is needed.
Side effects
- Missing or invalid agentId parameter returns a 400 error
- Agent ID not found on the specified chain returns a 404 or empty snapshots array
- Malformed chain:id format (e.g. missing colon) causes a parse error
- Agent has no historical data yet (newly registered) returns empty snapshots
- Payment failure via x402 protocol returns 402 Payment Required
- Rate limiting may return 429 Too Many Requests
Input
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"agentId": "base:1378"
}
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"chain": "base",
"agentId": "base:1378",
"snapshots": [
{
"date": "2026-03-18T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-19T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-20T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-21T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-22T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-23T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-24T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-25T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-26T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-27T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-28T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-29T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-30T00:00:00.000Z",
"score": 38
},
{
"date": "2026-03-31T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-01T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-03T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-04T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-05T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-06T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-07T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-08T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-09T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-10T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-11T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-12T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-13T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-14T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-15T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-16T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-17T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-18T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-19T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-20T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-21T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-22T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-23T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-24T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-25T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-26T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-27T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-28T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-29T00:00:00.000Z",
"score": 38
},
{
"date": "2026-04-30T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-01T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-02T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-03T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-04T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-05T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-06T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-07T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-08T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-09T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-10T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-11T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-12T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-13T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-14T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-15T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-16T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-17T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-18T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-19T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-20T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-21T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-22T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-23T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-24T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-25T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-26T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-27T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-28T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-29T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-30T00:00:00.000Z",
"score": 38
},
{
"date": "2026-05-31T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-01T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-02T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-03T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-04T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-05T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-06T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-07T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-08T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-09T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-10T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-11T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-12T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-13T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-14T00:00:00.000Z",
"score": 38
},
{
"date": "2026-06-15T00:00:00.000Z",
"score": 38
}
],
"dataPoints": 89,
"trajectory": {
"7d": 0,
"30d": 0
},
"volatility": 0
}Tags
x402
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