{"uid":"cap_jlvAidpcDaGeKIIJM_Nef","slug":"document-retrieval-analytics-string-normalisation-secondary-measure-c5172ba0","name":"Document Retrieval Analytics — String Normalisation & Secondary-Measure Weighted Mean","description":"Document retrieval — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-09-034?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},"field":{"enum":["retrieved_bytes","request_ms"],"type":"string","default":"retrieved_bytes"}}},"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_Se78_ACPAKBIQ60XGvbnm","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":"Computes string normalisation and secondary-measure weighted mean statistics for document retrieval records (retrieved_bytes, request_ms), returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a set of document retrieval records with site groups, dates, retrieved_bytes, and request_ms values — can you run string normalisation and a secondary-measure weighted mean on the retrieved_bytes field for all 4 rows and give me both reports?","exampleUseCases":[{"title":"Latency weighted mean across site groups","prompt":"I've got 50 rows of document retrieval logs with site_group, date, request_ms, and retrieved_bytes — can you compute the string normalisation and weighted mean for the request_ms field and return both analytical reports?"},{"title":"Byte retrieval normalisation for content audit","prompt":"Run string normalisation and a secondary-measure weighted mean on the retrieved_bytes field for these 120 document retrieval records grouped by site — I need both reports to understand how bytes are distributed across groups."},{"title":"Performance benchmarking across date ranges","prompt":"I have daily document retrieval data for two site groups from October 2026 — 30 rows total — can you normalise the strings and compute the weighted mean for retrieved_bytes and give me the two summary reports?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report for the selected field (retrieved_bytes or request_ms) across the supplied rows, and (2) a secondary-measure weighted mean report. Both reports are computed locally using shared analytical engines on up to 200 supplied rows, with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, site_group, date, retrieved_bytes, request_ms) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field enum value not in ['retrieved_bytes','request_ms'] — rejected","Null values in numeric fields may affect weighted mean calculation","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have tabular document retrieval records (with retrieved_bytes and request_ms columns) and need both string normalisation and secondary-measure weighted mean statistics in a single low-cost call. Ideal for small-to-medium batches (up to 200 rows) where no live data lookup or external enrichment is needed — purely local, deterministic analytical computation at $0.01 USDC for two reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:23.476Z","isFirstParty":false,"canonicalSlug":"document-retrieval-analytics-string-normalisation-secondary-measure-c5172ba0"}