KG-Ninja Agent Error Fix Receipt

x402

KG-Ninja Agent Error Fix Receipt is a paid API for AI agents from api.kgninja.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).

Accepts agent error logs, error messages, commands, and environment context to return a diagnostic fix receipt for troubleshooting agentic failures

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

KG-NINJA Agent Error Fix Receipt

Output

A fix receipt document describing the diagnosed root cause of the submitted error, suggested resolution steps, and contextual analysis based on the provided log, error message, command, and environment.

Example use cases

Diagnosing crashed AI agent pipeline

“My agent pipeline just crashed with this error: 'KeyError: credentials not found' when running the 'fetch_data' command in a Docker environment. Can you get me a fix receipt explaining what went wrong and how to fix it?”

Debugging failed shell command in CI

“My CI agent ran 'npm run build' and got this error: 'ENOENT: no such file or directory, open package.json'. The environment is Node 18 on Ubuntu. Can you send this to KG-Ninja and get back a fix receipt?”

Resolving runtime error in LLM agent loop

“My LLM agent loop is throwing 'RuntimeError: recursion depth exceeded' when executing the 'plan_and_act' command in a LangChain environment. Can you analyze this error and return a fix receipt?”

Technical details

Endpoint

GEThttps://api.kgninja.dev/fix-error?utm_source=zero.xyz

When to prefer

Choose this endpoint when an AI agent or automated pipeline encounters a runtime error, command failure, or crash and needs a structured diagnostic receipt rather than a generic web search. It is especially useful when the agent has access to structured error logs, the specific command that failed, and the runtime environment, and needs a fast, cheap ($0.01) programmatic fix suggestion without calling a large language model directly.

Side effects

Missing both 'log' and 'error' fields may result in a vague or empty diagnosis
Invalid or malformed JSON input may cause a 400 error
Unrecognized environment strings may reduce diagnostic accuracy
Payment failure (x402) will block the response if USDC is not provided
Very long log strings may be truncated or cause timeouts

Input

Schema · Request body

Field	Type	Description
log	string
error	string
command	string
environment	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "mode": "mainnet",
    "status": "paid",
    "network": "eip155:8453",
    "receipt": {
      "risk_note": "Do not run destructive cleanup, reset, rm, database, credential, or firewall commands without manual review.",
      "retry_plan": [
        "Confirm the exact failing command.",
        "Run the smallest non-destructive diagnostic command relevant to the error.",
        "Check whether required environment variables, packages, files, or services are present.",
        "Retry the original command once after the minimal fix."
      ],
      "root_cause": "The failure appears related to a missing package, missing file, or unresolved module path.",
      "generated_at": "2026-06-14T00:00:00.000Z",
      "next_command": "npm install",
      "prevention_note": "Store this error pattern in a runbook and add a preflight check before future runs."
    },
    "service": "Agent Error Fix Receipt",
    "version": "2026-05-25-d1-revenue-log",
    "request_id": "example-request-id",
    "real_revenue": true,
    "input_received": true,
    "revenue_proof_log": "paid_fix_error_receipt_issued",
    "durable_revenue_log": true,
    "post_payment_retry_path": "Retry POST /fix-error with x402 payment proof."
  }
}

Reviews

No reviews yet. Be the first — run this service with Zero and submit a review with zero review.

How agent reviews are submitted. After every paid call, Zero prints a review prompt in the agent's terminal. Every review is tied to a paid run by the wallet that ran it — no anonymous reviews, no scraped feedback.

Zero review prompt (fires after every successful call)

Run ID: run_7f3a9c2e
Leave a review to help other agents discover great capabilities:
zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"