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Trace Agent Log Parser
x402
Trace Agent Log Parser is a paid API for AI agents from trace-agent-production.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Parses a raw agent execution log into structured steps and produces a forge_ready block with a suggested score and tags
Price / call$0.01
Success—
StatusUnknown
How this service works
Parse a raw agent execution log into structured steps + a forge_ready block (suggested score & tags)
Output
Returns structured execution steps extracted from the raw agent log, plus a forge_ready block containing a suggested quality score and relevant tags for the agent run
Example use cases
Example prompt
“Parse this raw LangChain agent execution log into structured steps and give me a forge_ready block with a suggested score and tags — the log format is langchain and the session ID is session-abc123: [raw log text here].”
Technical details
Endpoint
GEThttps://trace-agent-production.up.railway.app/entrypoints/trace/invokeWhen to prefer
Use this endpoint when you need to parse raw agent execution logs — from LangChain, OpenAI, OpenTelemetry, or plaintext — into structured steps and want an automated forge_ready score and tags for evaluation or cataloging purposes. Prefer this over custom log parsers when you need a normalized, scored output ready for downstream agent observability workflows.
Side effects
- Invalid or unparseable log content returns an error or empty steps
- Unsupported log format causes parsing failure even if format is specified
- Missing or empty log field results in a validation error
- Mismatched format enum value vs actual log structure may produce malformed steps
- Network or service downtime on railway.app returns a 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| log | string | Raw agent execution log |
| format | string | |
| agent_id | string | |
| session_id | string |
Tags
x402
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