{"uid":"cap_jHA0Qa_Cv2ALHuBMOalA3","slug":"signalharness-search-query-normalizer-9d223fe7","name":"SignalHarness Search Query Normalizer","description":"Explore 330 pay-per-call x402 API services and 27 agent-native digital products, with Base USDC pricing, secure Polar checkout, and free discovery.","url":"https://signalharness.ai/api/agent/services/search_query_normalize/invoke","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"request_json":{"type":"string","maxLength":65536,"minLength":2}}},"responseSchema":{"type":"json","example":{"replay":false,"result":{"warnings":["Verify the caller-supplied data before relying on this result."],"service_id":"search_query_normalize","analysis_json":"{\"example\":\"schema-valid caller-supplied data\"}","evidence_scope":"caller_supplied_data"},"status":"succeeded","receipt":{"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","usage":[],"status":"succeeded","network":"eip155:8453","artifacts":[],"endedAtMs":0,"latencyMs":0,"paymentId":"example-payment","receiptId":"example-receipt","requestId":"example-request","serviceId":"search_query_normalize","executionId":"example-execution","startedAtMs":0,"amountAtomic":"5000","resultSha256":"bc0a292a87cd2dfe76e2753df737da2803924d093c2002c2de20e9ef9583b1a8","serviceVersion":"1.0.0","settlementReference":"0x0000000000000000000000000000000000000000000000000000000000000000"},"artifacts":[],"requestId":"example-request","executionId":"example-execution"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_INCGJGbFBRef6rcbhI1fH","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Normalizes and standardizes a raw search query string into a canonical, structured form suitable for downstream search or lookup operations.","exampleAgentPrompt":"Can you normalize this search query for me — 'best cheap laptops under 500 dollars NYC' — so it's clean and standardized before I pass it to the search index?","exampleUseCases":[{"title":"Preprocessing user queries for search pipeline","prompt":"I have a messy user-typed query — 'iphone 15 pro max deals!!!! near me cheapest' — can you normalize it into a clean, canonical form before I send it to my product search API?"},{"title":"Standardizing agent-generated search terms","prompt":"My agent just produced the query 'restaurants italian downtown open now best rated' — please normalize it so it's consistent and ready for the search index."},{"title":"Cleaning up batch of user search inputs","prompt":"I have this raw search query from a user: 'nike shoes size 10 men running white sale' — can you standardize and clean it up so it matches our search schema?"}],"resultDescription":"Returns a JSON object containing a normalized/analyzed version of the input query as analysis_json, along with any warnings (e.g. about caller-supplied data reliability), the service_id, and a full receipt with payment confirmation, latency, and result hash for auditability.","failureModes":["Malformed or empty request_json returns a validation error","Input exceeding 65536 characters is rejected","Caller-supplied data warnings issued when input cannot be fully verified","Payment failure on Base network results in no execution","Ambiguous or nonsensical queries may produce low-confidence normalizations"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call query normalization step in an agent pipeline before sending user input to a search or lookup service. It is especially useful when query strings come from untrusted or varied user input and need to be canonicalized cheaply ($0.005 USDC) without standing up your own NLP preprocessing infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T07:03:05.871Z","isFirstParty":false}