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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 alpha-stream.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 can parse them without crashing
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://alpha-stream.agentdiet.dev/v1/json-validator)
Output
Returns a repaired, valid JSON object with formatting issues resolved — trailing commas removed, markdown fences stripped, single quotes normalized to double quotes, and truncated structures closed — ready for downstream parsing without errors.
Example use cases
Fixing LLM pipeline output crashes
“My agent just returned this broken JSON with trailing commas and single quotes instead of double quotes — can you repair it so the next step in my pipeline doesn't crash? Here it is: {'user': 'bob', 'status': 'active',}”
Stripping markdown fences from model response
“The LLM wrapped its JSON in triple backtick markdown fences again and now my parser is choking. Can you strip the fences and fix any formatting issues so I get back clean parseable JSON?”
Recovering truncated agent JSON output
“The JSON my agent returned got cut off mid-response — it ends at '"items": [{"id": 1, "val' and I need it reconstructed or repaired enough to be valid and parseable.”
Technical details
Endpoint
GEThttps://alpha-stream.agentdiet.dev/v1/json-validator?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 errors like trailing commas, markdown code fences, or single quotes, and you need a deterministic fix rather than a generative rewrite. Prefer it over general-purpose LLM prompting for JSON repair when you need reproducible, low-latency, low-cost fixes at scale.
Side effects
- Input JSON is so severely corrupted it cannot be deterministically repaired (ambiguous structure)
- Empty raw_json parameter returns an error
- Non-JSON input (e.g. plain text, binary) may return a parse failure
- Payment required error (HTTP 402) if USDC microtransaction is not completed
- Truncation so extreme that the intended schema cannot be inferred
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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