{"uid":"cap_wMRqhvKQVw-5LKRUweZp4","slug":"document-retrieval-analytics-exact-row-deduplication-two-measure-ca0d5f0f","name":"Document Retrieval Analytics — Exact Row Deduplication + Two-Measure Correlation","description":"Document retrieval — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied document retrieval records (retrieved_bytes, request_ms). 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-web-09-050?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","retrieved_bytes","request_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"request_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"site_group":{"type":"string","default":"","maxLength":80},"retrieved_bytes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","request_ms":1,"site_group":"group-a","retrieved_bytes":10},{"date":"2026-10-02","row_id":"row-2","request_ms":2,"site_group":"group-b","retrieved_bytes":20},{"date":"2026-10-03","row_id":"row-3","request_ms":3,"site_group":"group-a","retrieved_bytes":15},{"date":"2026-10-04","row_id":"row-4","request_ms":4,"site_group":"group-b","retrieved_bytes":30}],"maxItems":200,"minItems":1}}},"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_wTr8HMltkBlKCXLvX-rwV","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 up to 200 document retrieval records and computes a correlation analysis between retrieved_bytes and request_ms, returning two independent analytical reports.","exampleAgentPrompt":"I have 150 document retrieval log rows with fields row_id, site_group, date, retrieved_bytes, and request_ms — can you deduplicate exact duplicate rows and run a correlation analysis between retrieved_bytes and request_ms, giving me two separate reports?","exampleUseCases":[{"title":"Web CDN performance correlation audit","prompt":"I've got 200 rows of CDN document retrieval logs with row IDs, site groups, dates, byte counts, and millisecond response times — deduplicate any exact duplicate rows and then tell me how strongly retrieved_bytes correlates with request_ms across all the records."},{"title":"Site group retrieval efficiency comparison","prompt":"Can you clean up my document retrieval dataset (up to 180 rows, each with a row_id, site_group like 'group-a' or 'group-b', a date, retrieved_bytes, and request_ms) by removing exact duplicates and then produce two reports showing the correlation between data size and latency?"},{"title":"QA check on retrieval pipeline logs","prompt":"I'm doing a quality check on our retrieval pipeline — here are around 90 rows of logs with row_id, site_group, date, retrieved_bytes, and request_ms. Please deduplicate them exactly and compute the correlation between bytes retrieved and request time so I can see if slow responses track with file size."}],"resultDescription":"Returns two independent analytical reports: (1) a deduplicated version of the submitted rows with exact duplicate records removed, and (2) a two-measure correlation analysis quantifying the statistical relationship between retrieved_bytes and request_ms across the cleaned dataset.","failureModes":["Submitting more than 200 rows will be rejected (maxItems constraint)","Missing required fields (row_id, site_group, date, retrieved_bytes, request_ms) will cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Null values in both numeric measures may reduce correlation reliability","Empty row array (minItems:1 not satisfied) will fail","Payment failure or insufficient USDC balance will block the call"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 document retrieval records and need both exact deduplication and a two-measure Pearson/statistical correlation between retrieved_bytes and request_ms in a single $0.01 call. Prefer it over general-purpose analytics tools when you want a lightweight, local-engine computation without live data lookup or external integrations. Ideal for periodic QA passes on retrieval logs or performance audits.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:06.869Z","isFirstParty":false,"canonicalSlug":"document-retrieval-analytics-exact-row-deduplication-two-measure-ca0d5f0f"}