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AgentDiet JSON Fix - Malformed JSON Repair API
x402
AgentDiet JSON Fix - Malformed JSON Repair API is a paid API for AI agents from mcp-gateway.agentdiet.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-22).
Accepts raw malformed or broken JSON as a query parameter and returns a cleaned, valid JSON object with compression metadata.
Price / call$0.002
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://mcp-gateway.agentdiet.dev settling in USDC on Base.
Output
A JSON response containing a 'data' field with the corrected/cleaned JSON object, a 'status' field indicating success (e.g. 'ok'), and a 'roi_proof' object showing the compression_ratio_pct achieved during repair (e.g. 91.4%).
Example use cases
Repair LLM-generated malformed JSON
“The language model just gave me back this broken JSON and I need it fixed before I can process it: {"user":"bob","score":42,"tags":["vip","active"} — the array isn't closed properly. Can you clean it up?”
Fix API response with syntax errors
“I'm getting a JSON parse error from a third-party API — the response looks like: {status: ok, data: {count: 5, items: ['a','b','c']} — can you repair it so it's valid JSON I can work with?”
Normalize LLM output for downstream processing
“I have some JSON output from an AI pipeline that has trailing commas and unquoted keys — something like {name: John, scores: [1,2,3,],} — please fix it so I can pass it to the next step in my workflow.”
Technical details
Endpoint
GEThttps://mcp-gateway.agentdiet.dev/v1/json-fix?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a malformed, broken, or syntactically invalid JSON string that needs to be repaired and returned as a valid parseable JSON object, particularly in automated agent pipelines where LLM outputs or third-party API responses frequently contain JSON syntax errors. Prefer this over manual parsing logic when you need a quick, pay-per-use fix with no infrastructure overhead, paid in USDC micro-transactions via x402.
Side effects
- Input is so malformed it cannot be heuristically repaired — returns error or empty data object
- Missing required 'input' field or 'method' field causes schema validation failure
- Extremely large JSON strings may hit size limits or timeout
- Non-JSON text passed as raw_json may return unexpected results or error
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
}
}
}Tags
x402
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