{"uid":"cap_Lb-qUEFccEs8ww8oGBYku","slug":"join-coverage-exact-row-deduplication-grouped-numeric-summary-18db499f","name":"Join Coverage — Exact Row Deduplication + Grouped Numeric Summary","description":"Join coverage — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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-09-040?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_xzHh0VLbfCBtVO3xxj5Qe","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 join coverage records and generates a grouped numeric summary report for matched_rows or source_rows metrics, processing up to 200 rows in two independent analytical reports.","exampleAgentPrompt":"I have up to 200 join coverage records with matched_rows and source_rows fields across different dataset groups — can you deduplicate them exactly and give me a grouped numeric summary for the matched_rows field?","exampleUseCases":[{"title":"ETL pipeline join audit","prompt":"I'm running a daily ETL job and have 150 join coverage records across groups 'orders' and 'customers' — can you deduplicate them and give me a grouped numeric summary of matched_rows so I can see per-group match counts?"},{"title":"Data quality check across datasets","prompt":"I have join coverage logs for four dataset groups from the past week. Please deduplicate the rows and produce a grouped numeric summary on source_rows so I can spot which groups have the most duplicates or anomalies."},{"title":"Coverage regression comparison","prompt":"After our schema migration, I collected 80 join coverage records tagged by dataset_group. Can you deduplicate them and summarize matched_rows by group so I can compare coverage before and after the migration?"}],"resultDescription":"Returns two independent reports: (1) exact row deduplication results identifying and removing duplicate join coverage records, and (2) a grouped numeric summary aggregating the selected metric (matched_rows or source_rows) by dataset_group, providing per-group statistics such as counts, totals, and distributions — all computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors","Invalid date format (not YYYY-MM-DD) fails schema validation","Null numeric values for both matched_rows and source_rows may reduce summary accuracy","row_id values exceeding 80 characters are rejected","Submitting fewer than 1 row returns an error"],"whenToPreferThis":"Use this endpoint when you have join coverage records (with matched_rows and source_rows) that need both exact deduplication and a grouped numeric summary in a single call. Ideal for data engineers auditing ETL pipelines, validating join match rates per dataset group, or cleaning coverage logs before downstream analysis. Prefer this over general-purpose analytics tools when you want a lightweight, no-lookup local computation that returns two distinct reports at very low cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:31.732Z","isFirstParty":false,"canonicalSlug":"join-coverage-exact-row-deduplication-grouped-numeric-summary-18db499f"}