AgentDiet JSON Repair

x402

AgentDiet JSON Repair is a paid API for AI agents from x402-audit.agentdiet.dev, paid per call via x402 or MPP, $0.002/call, status unknown (last checked 2026-10-20).

Repairs and cleans malformed JSON strings, returning a valid, distilled JSON object with a compression ratio proof.

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).

Output

Returns a JSON object with a 'status' field ('ok' on success), a 'data' field containing the repaired and valid JSON, and an 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%), indicating how much the raw input was cleaned or compressed.

Example use cases

Fix LLM-generated malformed JSON

“The AI response I got back has bad JSON — there are trailing commas and missing closing braces. Can you repair it and give me a clean valid JSON object? Here's the raw string: {"user":"Bob","score":42,"tags":["a","b",}”

Recover corrupted API response

“I got a truncated JSON payload from an external API and it won't parse. Can you repair it and tell me the compression ratio? The raw JSON is: {"id":1001,"status":"active","data":{"items":[1,2,3”

Sanitize LLM output before pipeline ingestion

“Before I feed this LLM-generated output into my data pipeline, can you clean up the malformed JSON so it's valid? Here it is: {"report": "Q1 results", "values": [10, 20, 30,], "note": 'needs review'}”

Technical details

Endpoint

GEThttps://x402-audit.agentdiet.dev/v1/json-repair?utm_source=zero.xyz

When to prefer

Use this endpoint when you have a malformed, truncated, or syntactically broken JSON string that needs to be repaired into a valid parseable object. It is especially useful for cleaning up LLM-generated JSON outputs, recovering from corrupted API responses, or sanitizing data before feeding it into a downstream pipeline. The compression ratio proof makes it useful when you also need to verify how much the payload was cleaned.

Side effects

Unparseable input — if the raw_json is so corrupted that no repair is possible, may return an error status
Missing required 'input' field — returns a schema validation error
Empty raw_json parameter — likely returns empty or error response
Input too large — may time out or return a processing error
Non-JSON input passed — unclear behavior, may attempt repair or fail gracefully

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {},
    "status": "ok",
    "roi_proof": {
      "compression_ratio_pct": 91.4
    }
  }
}

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