{"uid":"cap_k90KO6GuP-0SxpaCzjKsr","slug":"join-coverage-analytics-exact-row-deduplication-equal-width-histogram-39fdc3e8","name":"Join Coverage Analytics: Exact Row Deduplication + Equal-Width Histogram","description":"Join coverage — Exact row deduplication + Equal-width histogram: Exact row deduplication + Equal-width histogram 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-09-048?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_0nLvOZFY1HHOIoIGfAiWu","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":"Deduplicates rows and computes an equal-width histogram for join coverage data (matched_rows, source_rows) supplied by the caller — up to 200 rows, 2 reports per call.","exampleAgentPrompt":"I have 4 join coverage records with matched_rows and source_rows values — can you deduplicate them and produce an equal-width histogram with 5 bins on the matched_rows field? The rows are: row-1 (group-a, 2026-10-01, matched=10, source=1), row-2 (group-b, 2026-10-02, matched=20, source=2), row-3 (group-a, 2026-10-03, matched=15, source=3), row-4 (group-b, 2026-10-04, matched=30, source=4).","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I've got 50 join coverage records from our ETL run — each has a row_id, dataset_group, date, matched_rows, and source_rows. Can you deduplicate them and give me a 10-bin equal-width histogram on the matched_rows field so I can see the distribution?"},{"title":"Data warehouse coverage spot-check","prompt":"Here are 20 join coverage rows from our warehouse reconciliation, some might be duplicates. Run exact deduplication and an equal-width histogram with 5 bins on source_rows so I can see where coverage gaps cluster."},{"title":"Multi-group dataset match-rate analysis","prompt":"I have join coverage data for two dataset groups over the past week — about 30 rows total. Deduplicate the records and produce a histogram across 8 equal-width bins on matched_rows so I can compare match-rate distributions between group-a and group-b."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied join coverage records, and (2) an equal-width histogram report bucketing the chosen field (matched_rows or source_rows) into the specified number of bins with frequency counts per bin — all computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","bins value outside 1–30 range — validation error","All rows are null for the selected field — histogram may be empty or degenerate","Payment not received or insufficient USDC — 402 response blocking execution"],"whenToPreferThis":"Choose this endpoint when you have up to 200 join coverage records (matched_rows and source_rows per row) and need both exact duplicate removal and a quick frequency histogram in a single paid call. It is ideal for lightweight, self-contained data quality checks on join coverage metrics without requiring a full analytics platform or live database connection. Prefer it over general-purpose analytics APIs when you want a deterministic, reproducible result on caller-supplied data with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:33.250Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-exact-row-deduplication-equal-width-histogram-39fdc3e8"}