{"uid":"cap_KHG2iDmZnN5cqWHbYwtVW","slug":"join-coverage-analytics-equal-width-histogram-date-by-category-pivot-a20c7e25","name":"Join Coverage Analytics: Equal-Width Histogram + Date-by-Category Pivot","description":"Join coverage — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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-09-173?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_KM9ndkFuRo2eh8i_C1ULW","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 on join coverage data — an equal-width histogram and a date-by-category pivot — for up to 200 rows of matched_rows/source_rows data.","exampleAgentPrompt":"I have 150 rows of join coverage data with matched_rows and source_rows per dataset group and date — can you run an equal-width histogram with 10 bins on matched_rows and also pivot it by date and category for me?","exampleUseCases":[{"title":"Join match rate distribution analysis","prompt":"I've got my join coverage records for the last quarter — around 80 rows with matched_rows and source_rows per group. Can you build a 10-bin equal-width histogram of matched_rows and pivot it by date and dataset_group so I can see where coverage drops off?"},{"title":"Source row volume audit by group","prompt":"Here are 120 join coverage rows from our nightly ETL runs. Run a histogram with 5 bins on source_rows and also give me the date-by-category breakdown so I can spot which dataset groups are consistently small."},{"title":"Coverage comparison across pipeline segments","prompt":"I have 200 join coverage records split across 4 dataset groups. Please analyze source_rows — generate the equal-width histogram with 15 bins and the date-pivot table so I can compare coverage patterns across groups over time."}],"resultDescription":"Returns two analytical reports: (1) an equal-width histogram of the chosen field (matched_rows or source_rows) divided into the specified number of bins with row counts per bin, and (2) a pivot table showing the selected metric aggregated by date and dataset_group category. Results are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (non YYYY-MM-DD) causes row validation failure","bins value outside 1–30 range returns validation error","Null values in matched_rows or source_rows may affect histogram bin calculations","Missing required fields (row_id, dataset_group, date) cause row-level errors","Payment of 0.01 USDC not completed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a distribution histogram and a date-category pivot on join coverage metrics (matched_rows or source_rows) in a single low-cost call. It is ideal for data engineers who want a quick analytical snapshot of join performance across pipeline segments without building custom analytics. Prefer it over general-purpose analytics tools when working within an x402 micropayment workflow and when data fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:37.206Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-equal-width-histogram-date-by-category-pivot-a20c7e25"}