{"uid":"cap_KRhVfzebvhOj2s4Etpb3H","slug":"request-latency-exact-row-deduplication-numeric-interval-filter-38157124","name":"Request Latency — Exact Row Deduplication + Numeric Interval Filter","description":"Request latency — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter for supplied request latency records (latency_ms, request_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-software-03-043?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","latency_ms","request_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"latency_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"request_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","latency_ms":10,"request_count":1},{"date":"2026-10-02","row_id":"row-2","component":"group-b","latency_ms":20,"request_count":2},{"date":"2026-10-03","row_id":"row-3","component":"group-a","latency_ms":15,"request_count":3},{"date":"2026-10-04","row_id":"row-4","component":"group-b","latency_ms":30,"request_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["latency_ms","request_count"],"type":"string","default":"latency_ms"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_U2iUUmEHaqnKhUSnLvDGv","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Deduplicates exact rows and filters by numeric interval in supplied request latency records (latency_ms, request_count), returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of up to 150 request latency records with columns row_id, component, date, latency_ms, and request_count — can you deduplicate exact rows and filter to only keep records where latency_ms is between 10 and 500, then give me 2 reports?","exampleUseCases":[{"title":"Filter noisy latency logs by range","prompt":"I've got about 80 rows of latency data from our checkout service with latency_ms and request_count — can you remove any exact duplicate rows and then filter down to only records where latency_ms is between 50 and 300? Give me the two analytical reports on what's left."},{"title":"Deduplicate multi-component performance data","prompt":"We have performance records for components api-gateway and auth-service across several dates — deduplicate any identical rows and filter request_count to between 1 and 100, then send me the two reports."},{"title":"Validate clean latency dataset before reporting","prompt":"Before I build my dashboard, can you take my 120 latency records, strip out any exact duplicates, and keep only rows where latency_ms falls between 0 and 200? I want both of the reports that come back."}],"resultDescription":"Returns 2 independent analytical reports based on the supplied rows after exact row deduplication and numeric interval filtering on the selected field (latency_ms or request_count). No external data is fetched; all analysis is performed locally on the provided dataset.","failureModes":["Exceeding 200 rows causes rejection","Missing required fields (row_id, date, latency_ms, request_count) causes validation error","Invalid date format (not YYYY-MM-DD) causes parse failure","minimum greater than maximum produces empty filtered result set","Null numeric values in the filtered field may be excluded from interval filter","Malformed row objects with extra properties rejected due to additionalProperties:false"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of request latency or request count records in hand and need both exact duplicate removal and numeric range filtering in a single call, returning two analytical reports. Ideal for data cleaning and preliminary analysis pipelines where no live data lookup or prediction is needed and the dataset is small enough to supply inline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:55.981Z","isFirstParty":false,"canonicalSlug":"request-latency-exact-row-deduplication-numeric-interval-filter-38157124"}