{"uid":"cap_wNv3FUcTCUUkrXwmjXMOh","slug":"export-validation-analytics-string-normalisation-daily-sum-series-a23313da","name":"Export Validation Analytics — String Normalisation + Daily Sum Series","description":"Export validation — String normalisation + Daily sum series: String normalisation + Daily sum series 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-14-027?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_5eXKZfy7Gh1X9V3qz_rkY","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 two local analytical reports (string normalisation and daily sum series) on up to 200 export validation records containing valid_rows and exported_rows fields.","exampleAgentPrompt":"Can you run string normalisation and a daily sum series on my export validation data? I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyse the valid_rows field.","exampleUseCases":[{"title":"Daily export pipeline QA check","prompt":"I have a week's worth of export validation logs — each row has a date, dataset group name, valid row count, and exported row count. Can you run string normalisation on the group names and give me a daily sum series for valid_rows so I can see if anything looks off?"},{"title":"Summarise multi-group export totals by date","prompt":"I've got 50 export validation records spread across three dataset groups over the past month. Please normalise the group label strings and compute a daily sum series for exported_rows so I can spot any days where export volume dropped unexpectedly."},{"title":"Audit export data consistency before reporting","prompt":"Before I send this export summary to my manager, can you normalise the dataset_group strings across my 120 validation rows and generate a daily sum series for both valid_rows and exported_rows — I want to use exported_rows as the field for the series analysis."}],"resultDescription":"Returns two independent analytical reports for the submitted export validation rows: (1) a string normalisation report on the dataset_group and related string fields, and (2) a daily sum series aggregating the chosen numeric field (valid_rows or exported_rows) by date — all computed locally with no external lookups or predictions.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds batch limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) — request rejected","Numeric values outside ±1,000,000,000,000 range — schema validation error","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a daily sum series computed together on export validation data (valid_rows/exported_rows) in a single $0.01 call for up to 200 rows, without requiring any live external data, predictions, or professional assessments. It bundles two analytical passes into one payment, making it cost-efficient for lightweight export QA workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:35.644Z","isFirstParty":false,"canonicalSlug":"export-validation-analytics-string-normalisation-daily-sum-series-a23313da"}