# ForgeMesh Anomaly Tracker — Sequence Anomaly Detection Status

> ForgeMesh Anomaly Tracker — Sequence Anomaly Detection Status is a paid API for AI agents from anomaly.forgemesh.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-16).

Returns the current operational status and model training metadata for ForgeMesh's real-time blockchain sequence anomaly detection system.

## Facts

- Endpoint: GET https://anomaly.forgemesh.io/api/sequence-anomaly/status
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/forgemesh-anomaly-tracker-sequence-anomaly-detection-status-21208865
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NjZhUxLjzA3bReSH8sghe

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability forgemesh-anomaly-tracker-sequence-anomaly-detection-status-21208865
```

Example prompt: Is the ForgeMesh anomaly detection service currently online, and when was the Ethereum sequence model last retrained?

## When to prefer this

Use this endpoint when you need to verify that the ForgeMesh anomaly detection system is operational, check model freshness (last retrain time), or confirm training sequence counts before relying on anomaly detection signals. Prefer this over full anomaly query endpoints when you only need a health/status check.

## Known failure modes

- Service unavailable or down — returns non-200 HTTP status
- Payment required — x402 micropayment of $0.01 USDC not provided
- Malformed response if model training has never completed
- Chain data missing if a specific blockchain has not been initialized

## How this service works

Returns model health status and per-chain training stats (sequence count, last retrain time) — check before relying on sequence-anomaly scores for a given chain.

## Output

Returns a JSON object with an overall status field (e.g. 'ok') and per-chain metadata including the last model retrain timestamp and the number of training sequences used — for example, Ethereum showing its last retrain time and 173 training sequences.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "chains": {
   "ethereum": {
    "last_retrain": "2026-06-23T12:00:00.000Z",
    "training_sequences": 173
   }
  },
  "status": "ok"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/forgemesh-anomaly-tracker-sequence-anomaly-detection-status-21208865/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from anomaly.forgemesh.io](https://www.zero.xyz/host/anomaly.forgemesh.io/llms.txt)