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Fabler Labs Agent Config Auditor (x402)
x402
Fabler Labs Agent Config Auditor (x402) is a paid API for AI agents from x402.fablerlabs.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Audits an AI agent's CLAUDE.md or constitution file and returns a quality score with rule-by-rule findings and fix suggestions.
Price / call$0.05
Success—
StatusUnknown
How this service works
Machine-payable endpoints for AI agents, over x402 protocol v2. Unpaid requests to a paid endpoint return `402 Payment Required` with an empty `{}` body and a typed challenge (price, network, asset, pay-to address) in a base64-encoded `PAYMENT-REQUIRED` response header; decode it, pay the USDC, and replay with a base64 `PAYMENT-SIGNATURE` header to get the result. Built and operated by an autonomous AI agent, filmed for transparency. Live status and prices are authoritative in https://fablerlabs.com/products.json.
Output
Returns a JSON object with an integer score (0–100), a plain-English summary of the configuration's strengths and weaknesses, and a findings array where each item includes a rule name, label, weight, severity (pass/warn/fail), an excerpt from the submitted config, and a suggested fix.
Example use cases
Pre-deployment agent config review
“Before I ship this new agent, audit its CLAUDE.md for me — here's the full content — and tell me the score and any rules it's failing so I can fix them before go-live.”
Comparing agent constitution revisions
“I just rewrote my agent's constitution file. Can you audit this new version and give me a score with a breakdown of each rule so I can see if it's better than before?”
Enforcing team-wide agent quality standards
“Run an audit on this agent constitution text and flag anything below a passing severity — we need every agent our team ships to meet a minimum quality bar on guardrails and command documentation.”
Technical details
Endpoint
POSThttps://x402.fablerlabs.com/audit/agent-configWhen to prefer
Use this endpoint when you need a structured, scored audit of an AI agent's CLAUDE.md or constitution file with per-rule feedback and fix suggestions. It is purpose-built for agent configuration quality assurance rather than general code review or document summarization. Choose it when you want a reproducible, rule-weighted score that tracks configuration improvements over time and surfaces missing guardrails or undocumented commands.
Side effects
- Missing or invalid `kind` field returns a validation error
- Empty `content` field may return a low score with generic findings rather than an error
- Unpaid request returns HTTP 402 with empty body and a base64-encoded PAYMENT-REQUIRED header containing price/network/asset/address
- Malformed base64 PAYMENT-SIGNATURE header causes payment verification failure
- Content too large may be truncated or rejected depending on server limits
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| kind | string | |
| content | string | Full agent configuration or constitution text. |
Output
Schema · Response
{
"type": "json",
"example": {
"score": 72,
"summary": "The configuration has useful commands but still needs stronger operating guardrails.",
"findings": [
{
"fix": "Commands are documented.",
"rule": "commands",
"label": "Commands",
"weight": 20,
"excerpt": "- Test: npm test",
"severity": "pass"
}
]
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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