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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 shopify-intel.agentdiet.dev, paid per call via MPP, $0.002/call, status unknown (last checked 2026-10-21).
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://shopify-intel.agentdiet.dev/v1/schema-repair)
Output
A repaired, valid JSON object where all common malformations (trailing commas, markdown fences, single quotes, truncation) have been deterministically corrected, ready for downstream parsing and processing in agent pipelines.
Example use cases
Fix LLM output crashing agent pipeline
“The JSON this model returned has trailing commas and single quotes instead of double quotes and it's breaking my downstream agent — can you repair it so it parses cleanly? Here it is: {"status": 'ok', "items": [1, 2, 3,]}”
Strip markdown fences from model response
“My LLM wrapped its JSON output in a markdown code block like ```json ... ``` and now my parser chokes on it — can you clean that up and give me back valid JSON?”
Recover truncated JSON from partial response
“I got a truncated JSON response that got cut off mid-string and won't parse at all — can you deterministically repair it and give me back a valid JSON object? Here's the broken fragment: {"user": "bob", "score": 42, "tags": ["alpha", "be”
Technical details
Endpoint
GEThttps://shopify-intel.agentdiet.dev/v1/schema-repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent pipeline receives LLM-generated JSON that fails to parse due to common formatting issues like trailing commas, markdown code fences, single quotes, or truncation. Prefer it over custom parsing logic when you need a deterministic, consistent repair strategy across heterogeneous LLM outputs without writing bespoke sanitization code.
Side effects
- Input is so severely malformed that repair is not deterministically possible — returns error
- Input JSON is empty or whitespace-only — returns validation error
- Truncation is too severe to infer missing structure — partial repair or error returned
- Non-JSON input passed (e.g. plain text prose) — may return error or unexpected output
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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