AgentDiet JSON Repair

x402

AgentDiet JSON Repair is a paid API for AI agents from alpha-stream.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 corrected JSON with compression ratio 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 including a compression_ratio_pct metric indicating how much the repair cleaned up the input.

Example use cases

Fix LLM-generated malformed JSON

“This JSON came back from an AI model and it's broken — fix it so I can parse it: {"user": "bob", "score": 42, "tags": ["alpha", "beta",]}”

Recover corrupted API response data

“I got a garbled JSON response from an external API with unclosed brackets and missing commas — can you repair it so I can extract the data? Here it is: {"id": 101 "name": "Widget" "price": 9.99}”

Clean up user-submitted JSON config

“A user pasted this config JSON into our form but it's invalid — please repair it: {debug: true, timeout: 30, retries: 3,}”

Technical details

Endpoint

GEThttps://alpha-stream.agentdiet.dev/v1/json-repair?utm_source=zero.xyz

When to prefer

Choose this endpoint when you have a malformed or invalid JSON string that needs to be repaired programmatically, especially when the JSON comes from LLM outputs, user input, or unreliable APIs. It is particularly useful when standard JSON parsers reject the input due to syntax errors like trailing commas, unquoted keys, or missing brackets.

Side effects

Input is so malformed it cannot be meaningfully repaired, returning an error status
Non-JSON input (e.g. plain text or binary) may produce unpredictable output
Very large JSON strings may time out or exceed input limits
Missing required 'raw_json' query parameter results in a validation 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
    }
  }
}

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