{"uid":"cap_266ywZxykm-XtJXZfahv_","slug":"join-coverage-analytics-numeric-distribution-base-100-series-fccac782","name":"Join Coverage Analytics — Numeric Distribution & Base-100 Series","description":"Join coverage — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series 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-09-078?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_ydL32x381HWmZpdgniuFR","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 a numeric distribution report and a base-100 indexed series for join coverage metrics (matched_rows, source_rows) from up to 200 supplied records.","exampleAgentPrompt":"Analyze my join coverage data — I have 4 rows with matched_rows and source_rows for groups A and B from October 2026. Give me the numeric distribution report and a base-100 series indexed from row 0, analyzing the matched_rows field.","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have daily join coverage records for two dataset groups over the past month — can you run a numeric distribution and base-100 series on the matched_rows field, starting the index at day 0, so I can see how match quality has trended?"},{"title":"Source row volume distribution check","prompt":"Can you compute the numeric distribution of source_rows across my dataset groups using these 50 join coverage records? I want to understand the spread and also see the base-100 indexed series with the first record as the baseline."},{"title":"Cross-group match rate comparison","prompt":"I've got join coverage data for groups 'retail' and 'wholesale' across 30 dates — run both the distribution histogram and the base-100 series on matched_rows with index starting at position 0 so I can compare how each group's match rate has shifted."}],"resultDescription":"Two independent analytical reports: (1) a numeric distribution breakdown of the selected field (matched_rows or source_rows) across supplied records, and (2) a base-100 indexed time series anchored at the specified base_index row — both computed locally from supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Invalid date format (not YYYY-MM-DD) — validation error","base_index out of range (>= number of rows supplied) — index error","null values in matched_rows or source_rows may affect distribution completeness","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records with matched_rows and source_rows fields and need both a numeric distribution report and a base-100 indexed series in a single call for $0.01 USDC. Ideal for data engineers auditing ETL join quality, analysts benchmarking match rates over time, or pipelines that need lightweight statistical summaries without external data access or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.932Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-numeric-distribution-base-100-series-fccac782"}