{"uid":"cap_5GtAhVZrobjfsX4RvnQxO","slug":"join-coverage-analytics-grouped-numeric-summary-adjacent-row-changes-15745a72","name":"Join Coverage Analytics: Grouped Numeric Summary + Adjacent Row Changes","description":"Join coverage — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes for supplied join coverage records (matched_rows, source_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-09-091?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["matched_rows","source_rows"],"type":"string","default":"matched_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_HlGJqMiqIEQiGNUlys45w","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":"Analyzes supplied join coverage data (matched_rows, source_rows) producing two reports: a grouped numeric summary by dataset_group and an adjacent row change analysis, for up to 200 rows.","exampleAgentPrompt":"Can you run the two join coverage reports — grouped numeric summary and adjacent row changes — on my dataset using matched_rows as the field? Here are my records: group-a on 2026-10-01 had source_rows=1 and matched_rows=10, group-b on 2026-10-02 had source_rows=2 and matched_rows=20, group-a on 2026-10-03 had source_rows=3 and matched_rows=15, and group-b on 2026-10-04 had source_rows=4 and matched_rows=30.","exampleUseCases":[{"title":"Auditing join rates across pipeline stages","prompt":"I have 50 rows of join coverage data across dataset groups alpha and beta from last month — can you give me a grouped numeric summary and show me where matched_rows changed significantly between adjacent rows? Use matched_rows as the field."},{"title":"Detecting anomalous drops in source coverage","prompt":"Run the join coverage analysis on my records using source_rows as the field — I want the grouped summary by dataset_group and the adjacent row change report so I can spot any sudden drops in source coverage across my pipeline."},{"title":"Validating data warehouse join completeness","prompt":"I've got join coverage logs for my warehouse tables — about 120 rows across 4 dataset groups — can you compute the grouped numeric summary and adjacent row changes for matched_rows so I can validate our join completeness before the monthly report?"}],"resultDescription":"Returns two analytical reports computed locally from the supplied rows: (1) a grouped numeric summary aggregating matched_rows or source_rows statistics (e.g. count, sum, mean, min, max) by dataset_group, and (2) an adjacent row change analysis showing deltas between consecutive rows for the selected numeric field. No external data is fetched; all computation is on the supplied input.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row — schema validation failure","Date strings not matching YYYY-MM-DD pattern — pattern validation error","Numeric values outside ±1,000,000,000,000 range — schema bounds error","Invalid field selector (not 'matched_rows' or 'source_rows') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular join coverage data (matched_rows, source_rows) already in hand and need two fast local analytical reports — a grouped numeric summary and adjacent row changes — without any live data lookup, prediction, or external enrichment. Ideal for data engineers auditing ETL pipelines, validating join completeness, or spotting row-to-row anomalies in up to 200 records at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:39.885Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-grouped-numeric-summary-adjacent-row-changes-15745a72"}