{"uid":"cap_pFVPW3qPeWS8p--wCMj9m","slug":"api-strale-io-6b5f69d4","name":"LLM Output Validator & Auto-Repair","description":"Validate and auto-repair LLM output. Parse JSON, validate against schema, attempt fixes for common LLM mistakes. Algorithmic — no LLM needed.","url":"https://api.strale.io/x402/llm-output-validate?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","required":["llm_output"],"properties":{"llm_output":{"type":"string","description":"Raw LLM output string"},"strict_mode":{"type":"boolean"},"expected_schema":{"type":"object","description":"JSON Schema to validate against"}}}},"additionalProperties":false}}},"responseSchema":null,"example":{"request":{"input":{"type":"http","method":"GET","queryParams":{"llm_output":"{\"name\": \"Alice\", \"age\": 30,}","strict_mode":false}}},"response":{"_meta":{"payment":{"method":"x402","price_usd":0.054000000000000006,"settlement_id":"0xeb0ca06d40cfb02a3f7115cd7078430fe53324ca483e7fe06947a05b199cc5ef"},"capability":"llm-output-validate","latency_ms":0,"provenance":{"source":"algorithmic","fetched_at":"2026-06-16T01:20:35.267Z"}},"valid":true,"errors":[],"auto_fixed":true,"error_count":0,"parse_error":null,"parsed_output":{"age":30,"name":"Alice"},"auto_fixed_output":"{\n  \"name\": \"Alice\",\n  \"age\": 30\n}"}},"exampleRequest":{"llm_output":"{\"name\": \"Alice\", \"age\": 30,}","strict_mode":false},"tags":["x402"],"displayCostAmount":"0.054001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.054001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.054","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.054","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_sk-KiPxn_Qhkid6jCv5tP","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.054","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Parses, validates, and auto-repairs raw LLM output JSON against an optional schema, fixing common LLM formatting mistakes algorithmically without any AI.","exampleAgentPrompt":"Parse and validate this raw LLM output string — it's supposed to be JSON matching my schema — and auto-fix any common mistakes like trailing commas or unquoted keys: '{\"name\": \"Alice\", \"age\": 30,}'","exampleUseCases":null,"resultDescription":"Returns a parsed and optionally repaired JSON object, validation status, a list of schema violations if an expected_schema was provided, and a log of any automatic fixes applied to correct common LLM formatting errors.","failureModes":["LLM output is so malformed it cannot be repaired algorithmically — returns error with details of unparseable content","expected_schema is invalid JSON Schema — returns schema parse error","llm_output parameter missing — returns 400 bad request","Output fails strict_mode validation — returns error with full list of violations and no repaired output"],"whenToPreferThis":"Use this endpoint when you need a fast, deterministic, cost-effective way to validate and repair JSON produced by LLMs without involving another AI model. Ideal for agentic pipelines where LLM-generated structured data must conform to a schema before downstream use. Prefer over LLM-based repair when determinism, speed, and cost matter and the errors are common syntactic LLM mistakes.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T00:59:58.757Z","isFirstParty":false,"canonicalSlug":"api-strale-io-6b5f69d4"}