{"uid":"cap_EWmfWEFP9XKVdaLzTOXRn","slug":"one-engine-query-parse-5973446f","name":"ONE Engine Query Parse","description":"Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.","url":"https://one-search.one-engine.workers.dev/v1/query/parse?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"query":{"type":"string"}}},"responseSchema":{"type":"json","example":{"value":{"a":"1","b":["hello","world"]}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","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":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_jCPfDbbK2fCys-nz1ymmK","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Parses a natural language or structured query string into its component parts (key-value pairs and arrays) for downstream processing by autonomous agents.","exampleAgentPrompt":"Parse this query into its structured components: 'blue running shoes size 10 under $100 near me' — I need the individual fields and values separated out.","exampleUseCases":[{"title":"E-commerce search intent extraction","prompt":"Take this product search query — 'wireless noise-cancelling headphones under $200 for travel' — and break it down into its structured parts so I know what filters to apply."},{"title":"Agent query routing pre-processing","prompt":"Before I route this user request to the right tool, can you parse 'cheapest flights from NYC to London in July round trip' into its structured fields?"},{"title":"Natural language filter decomposition","prompt":"I need you to parse 'red medium-sized winter jackets for women on sale' into labeled key-value pairs so I can pass them to our product catalog API."}],"resultDescription":"A JSON object containing parsed query components as key-value pairs and arrays — for example, extracted attributes, filters, terms, and named entities derived from the input query string.","failureModes":["Empty or missing query field returns an error or empty parse result","Highly ambiguous queries may produce malformed or incomplete key-value decomposition","Non-English or heavily idiomatic queries may parse incorrectly","Payment failure via x402 returns 402 status before any parsing occurs","Very long or complex queries may exceed processing limits"],"whenToPreferThis":"Use this endpoint when you need to decompose a raw user query string into structured key-value components at very low cost ($0.001 USDC per call) and high speed. It is ideal for agent pipelines that need to route, filter, or parameterize downstream API calls based on user intent expressed as free text. Prefer this over in-context LLM parsing when you want a deterministic, cheap, pay-per-call utility without burning LLM tokens.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:15.765Z","isFirstParty":false,"canonicalSlug":"one-engine-query-parse-5973446f"}