AgentDiet JSON Repair Endpoint

x402

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

Repairs and cleans malformed or broken JSON strings, returning valid, corrected JSON with compression metadata.

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 'data' field containing the repaired and valid JSON, a 'status' field (e.g. 'ok'), and an 'roi_proof' object containing compression metadata such as compression_ratio_pct indicating how much the input was compacted or corrected.

Example use cases

Fix LLM-generated malformed JSON

“The language model returned this JSON but it has syntax errors and won't parse — can you clean it up and give me a valid version: '{"results": [{"id": 1, "value": "foo", "tags": ["a", "b"}'?”

Recover truncated API response JSON

“I got a truncated JSON response from an external API and it's broken: '{"status": "ok", "data": {"items": [1, 2, 3' — can you repair it so I can extract the data inside?”

Clean up config file with JSON errors

“My config file has invalid JSON with missing quotes and trailing commas — here it is: '{name: myApp, version: "1.0", debug: true,}' — please fix it so it's valid JSON.”

Technical details

Endpoint

GEThttps://defi-yield.agentdiet.dev/v1/json-repair?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, pay-per-call JSON repair service that returns corrected JSON along with compression/repair metrics. It is especially useful in agentic pipelines where LLM outputs, API responses, or user-supplied data may contain malformed JSON that must be sanitized before further processing. Prefer this over manual regex-based fixes or client-side parsing hacks when you need reliable structured output with minimal latency.

Side effects

Input JSON is so severely malformed that repair is not possible — returns error status
Missing required 'input' parameter causes validation failure
Unsupported HTTP method specified in 'method' field
Empty or null raw_json query parameter results in no-op or error
Network timeout or upstream service unavailability

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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