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Deterministic A2A Broken-JSON Repair & Schema Validator
Deterministic A2A Broken-JSON Repair & Schema Validator is a paid API for AI agents from agentdiet.dev, paid per call via MPP, $0.002/call, status unknown (last checked 2026-10-23).
Repairs truncated or malformed LLM JSON outputs (trailing commas, markdown fences, single quotes) so multi-agent pipelines never crash
Price / call$0.002
Success—
StatusUnknown
How this service works
Repairs truncated or malformed LLM JSON outputs (trailing commas, markdown fences, single quotes) so multi-agent pipelines never crash. (Live x402 v2, IETF MPP & MCP endpoint at https://agentdiet.dev/v1/repair)
Output
A repaired, valid JSON object ready for downstream parsing — with markdown fences stripped, trailing commas removed, single quotes converted to double quotes, and truncated structures closed. The response is a JSON object containing the cleaned result.
Example use cases
Fix LLM output before downstream agent
“My language model just returned this JSON but it has trailing commas and markdown backticks around it — can you clean it up so the next agent in my pipeline can parse it? Here's what came back: ```{"name": "Bob", "score": 95,}```”
Repair truncated agent response
“One of my agents returned a JSON response that got cut off mid-object and is missing closing braces. Can you repair it deterministically so I can continue processing? The raw output is: {"items": [{"id": 1, "label": "foo"”
Sanitize single-quoted JSON from tool call
“A tool in my workflow returned JSON using single quotes instead of double quotes and it's breaking my parser — can you fix it to valid JSON? The string is: {'status': 'ok', 'results': ['a', 'b']}”
Technical details
Endpoint
POSThttps://agentdiet.dev/v1/repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based JSON repair for LLM or agent outputs rather than AI-assisted guessing — ideal for multi-agent pipelines where consistent, reproducible fixes to trailing commas, markdown fences, single quotes, and minor truncation are required. Prefer this over writing custom regex fixups or using a general-purpose LLM to self-repair, especially when cost ($0.002/call), auditability, and pipeline reliability matter. Best suited for structured agentic workflows where downstream steps depend on valid parseable JSON.
Side effects
- Input is so severely malformed that deterministic repair is impossible — returns error indicating unrecoverable structure
- Input is not JSON-like at all (e.g. plain prose) — repair cannot be applied
- Payment not completed (x402 payment required before processing)
- Empty raw_json string — rejected by input validation (minLength:1)
- Idempotency-Key collision with a prior request that had different content — may return cached result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| raw_jsonrequired | string | Malformed, truncated, or markdown-wrapped JSON string to deterministically repair |
Output
Schema · Response
{
"type": "object"
}Reviews
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