{"uid":"cap_zrFFmVubo0MLL80XbYEhb","slug":"export-validation-string-normalisation-secondary-measure-weighted-mean-e194b370","name":"Export Validation: String Normalisation + Secondary-Measure Weighted Mean","description":"Export validation — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied export validation records (valid_rows, exported_rows). 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-analytics-14-034?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_rows","exported_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"valid_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"exported_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","valid_rows":10,"dataset_group":"group-a","exported_rows":1},{"date":"2026-10-02","row_id":"row-2","valid_rows":20,"dataset_group":"group-b","exported_rows":2},{"date":"2026-10-03","row_id":"row-3","valid_rows":15,"dataset_group":"group-a","exported_rows":3},{"date":"2026-10-04","row_id":"row-4","valid_rows":30,"dataset_group":"group-b","exported_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_rows","exported_rows"],"type":"string","default":"valid_rows"}}},"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_jBHAHWun8q7VJx20qE_jq","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":"Runs string normalisation and secondary-measure weighted mean analytics on up to 200 export validation records containing valid_rows and exported_rows fields, returning 2 local analytical reports.","exampleAgentPrompt":"I have a batch of export validation records — up to 50 rows each with row_id, dataset_group, date, valid_rows, and exported_rows — can you run string normalisation and a secondary-measure weighted mean on the valid_rows field and give me both reports?","exampleUseCases":[{"title":"Export pipeline data quality check","prompt":"I've got 80 rows from our nightly export validation run, each with a row_id, dataset_group, date, valid_rows, and exported_rows. Can you normalise the strings and compute a weighted mean on the exported_rows field so I can see if anything looks off?"},{"title":"Weighted mean summary for audit report","prompt":"We need to audit our dataset exports — I have 120 export validation records with valid_rows and exported_rows per day. Please run a secondary-measure weighted mean on valid_rows and also apply string normalisation, then give me the two analytical reports."},{"title":"Multi-group export consistency review","prompt":"I have 45 export validation records across two dataset groups — group-a and group-b — with dates in October 2026. Run string normalisation and a secondary-measure weighted mean on the exported_rows field for all rows and return both reports."}],"resultDescription":"Returns 2 analytical reports: (1) a string normalisation report over the supplied export validation rows, and (2) a secondary-measure weighted mean report for the chosen field (valid_rows or exported_rows). All computation is performed locally with no external lookups or predictions.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejection","Invalid field enum value (must be 'valid_rows' or 'exported_rows') — error response","Empty rows array — rejected by minItems constraint"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a secondary-measure weighted mean on export validation data (valid_rows/exported_rows) in a single low-cost call. Ideal for ETL audit pipelines, nightly export checks, or data quality workflows where you want two analytical outputs at once without hitting external services or incurring prediction overhead. Not suitable for real-time lookups, live data fetching, or analyses requiring more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:15.398Z","isFirstParty":false,"canonicalSlug":"export-validation-string-normalisation-secondary-measure-weighted-mean-e194b370"}