{"uid":"cap_1j_0GthBrTHq_ZEJfW4r_","slug":"join-coverage-analytics-equal-width-histogram-weighted-mean-346c8fdd","name":"Join Coverage Analytics — Equal-Width Histogram & Weighted Mean","description":"Join coverage — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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-09-172?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_xmM8T_wUK1pzxbDP9lT8S","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 an equal-width histogram and secondary-measure weighted mean for join coverage records (matched_rows, source_rows) supplied in the request body.","exampleAgentPrompt":"Run a histogram and weighted mean analysis on my join coverage data — I've got 4 records for group-a and group-b dated 2026-10-01 through 2026-10-04 with matched_rows values of 10, 20, 15, 30 and source_rows of 1, 2, 3, 4 — use 5 bins and analyze the matched_rows field.","exampleUseCases":[{"title":"Join quality distribution over time","prompt":"I have daily join coverage records for October — matched_rows and source_rows for two dataset groups — can you bucket matched_rows into 8 equal-width bins and give me a weighted mean using source_rows as weights?"},{"title":"ETL pipeline coverage audit","prompt":"Here are 150 rows from our ETL pipeline join logs with matched_rows and source_rows per record. Analyze the source_rows field with 10 histogram bins and compute the weighted mean so I can see where coverage is concentrated."},{"title":"Dataset group coverage comparison","prompt":"I want to understand the spread of matched rows across my join coverage records for group-a — can you run a 5-bin equal-width histogram on matched_rows and give me the secondary weighted mean for those records?"}],"resultDescription":"Returns two analytical reports sharing local engines: (1) an equal-width histogram of the selected field (matched_rows or source_rows) across up to 200 supplied records, broken into 1–30 bins; and (2) a weighted mean of the secondary measure. Output includes bin edges, bin counts, and the computed weighted average.","failureModes":["Missing required row fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors","More than 200 rows submitted — request rejected with max-items error","Invalid date format (not YYYY-MM-DD) causes schema validation failure","bins value outside 1–30 range causes rejection","All null values for the selected field may produce undefined histogram or NaN mean","Payment of 0.01 USDC not completed — 402 response returned"],"whenToPreferThis":"Choose this endpoint when you have join coverage tabular data (matched_rows, source_rows) already in hand and need fast, offline statistical summarization — specifically an equal-width histogram plus a weighted mean — without any external lookup or prediction. Best for data engineers auditing ETL join quality or analysts exploring row-match distributions across dataset groups. Not suitable for live data fetching, predictions, or analyses requiring more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:47.264Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-equal-width-histogram-weighted-mean-346c8fdd"}