{"uid":"cap_ZlZBDVeXQMomFw18Dm9OX","slug":"export-validation-analytics-category-frequencies-two-measure-b90c73af","name":"Export Validation Analytics — Category Frequencies + Two-Measure Correlation","description":"Export validation — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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-14-108?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}}},"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_CIpjr1cuxMp0xD2XBjCMQ","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 category frequency counts and Pearson/rank correlation between valid_rows and exported_rows for up to 200 export validation records, returning two analytical reports.","exampleAgentPrompt":"Can you run category frequency counts and a correlation analysis between valid_rows and exported_rows on my export validation data? I have 4 records: group-a on 2026-10-01 with 10 valid and 1 exported, group-b on 2026-10-02 with 20 valid and 2 exported, group-a on 2026-10-03 with 15 valid and 3 exported, and group-b on 2026-10-04 with 30 valid and 4 exported.","exampleUseCases":[{"title":"ETL pipeline export quality check","prompt":"I have 50 daily export validation records across dataset groups A, B, and C — can you compute how frequently each group appears and whether the number of valid rows correlates with the number of exported rows?"},{"title":"Detecting export drop-off by group","prompt":"Run a category frequency and two-measure correlation report on my export logs: I want to see which dataset groups dominate the data and whether valid_rows and exported_rows track each other closely or diverge."},{"title":"Monthly export audit statistical summary","prompt":"I need to audit last month's export validation records — 120 rows with dataset_group, date, valid_rows, and exported_rows fields. Give me a frequency breakdown by group and a correlation between the two numeric measures."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a two-measure correlation result quantifying the statistical relationship between valid_rows and exported_rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the row limit and is rejected","Rows missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) fail schema validation","Dates not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 are rejected","Null values for both numeric measures may produce undefined correlation results"],"whenToPreferThis":"Choose this endpoint when you need both a categorical frequency summary and a two-measure correlation analysis on export validation data (valid_rows vs exported_rows) in a single low-cost call. It is ideal for small-to-medium datasets up to 200 rows where all data is supplied directly — no external data fetching, prediction, or professional assessment is needed. Prefer this over generic analytics tools when working within a structured export pipeline audit workflow that already has row_id, dataset_group, date, valid_rows, and exported_rows fields available.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:23.920Z","isFirstParty":false,"canonicalSlug":"export-validation-analytics-category-frequencies-two-measure-b90c73af"}