{"uid":"cap_q8ctpJmSbJvn4QtX-asTo","slug":"request-latency-exact-row-deduplication-and-numeric-row-ordering-31618b0a","name":"Request Latency Exact Row Deduplication and Numeric Row Ordering","description":"Request latency — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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-03-042?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"}}},"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_c0AhfY7crvyAP_PtsmId_","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 applies numeric ordering to supplied request latency records (latency_ms, request_count), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a set of request latency records with latency_ms and request_count values across different components and dates — can you run exact row deduplication and numeric ordering on them and give me the two reports? Here are up to 200 rows with fields row_id, component, date, latency_ms, and request_count, and I want the analysis on the latency_ms field.","exampleUseCases":[{"title":"Clean duplicate API latency logs","prompt":"I've got a batch of API latency logs from our services with columns row_id, component, date, latency_ms, and request_count — some rows look like exact duplicates. Can you deduplicate them and then numerically order by latency_ms, returning both reports?"},{"title":"Order request count data numerically","prompt":"Here are up to 150 rows of request monitoring data including row_id, component, date, latency_ms, and request_count. Please run exact row deduplication and numeric ordering on the request_count field and give me the two analytical reports."},{"title":"Audit performance data for duplicate entries","prompt":"We recorded performance samples from components group-a and group-b over several dates and suspect there are duplicate rows. Run exact row deduplication and numeric ordering on these latency_ms records and send back both reports."}],"resultDescription":"Two analytical reports: one covering exact row deduplication results (identifying and removing duplicate rows) and one covering numeric row ordering for the specified field (latency_ms or request_count), applied to the supplied dataset of up to 200 rows.","failureModes":["More than 200 rows submitted — returns an error or truncates input","Missing required fields (row_id, component, date, latency_ms, request_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not in enum ['latency_ms','request_count'] — invalid input error","Payment not supplied or insufficient USDC — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have raw request latency or request count tabular records that need exact duplicate row removal and numeric ordering, and you want two structured analytical reports in a single low-cost call. It is ideal for lightweight, offline data cleaning and ordering tasks on datasets up to 200 rows without needing live data lookup, prediction, or external system access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:38:07.318Z","isFirstParty":false,"canonicalSlug":"request-latency-exact-row-deduplication-and-numeric-row-ordering-31618b0a"}