{"uid":"cap_97O4WT8Yhp-hruhbK0xjM","slug":"null-coverage-analytics-duplicate-key-report-grouped-numeric-summary-c3a2eff1","name":"Null Coverage Analytics: Duplicate Key Report + Grouped Numeric Summary","description":"Null coverage — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary for supplied null coverage records (missing_values, total_values). 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-03-056?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","missing_values","total_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"missing_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_values":1,"dataset_group":"group-a","missing_values":10},{"date":"2026-10-02","row_id":"row-2","total_values":2,"dataset_group":"group-b","missing_values":20},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":15},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["missing_values","total_values"],"type":"string","default":"missing_values"}}},"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_ux0xiiKNLfXqZCI-EUYIs","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 null-coverage data — a duplicate key report and a grouped numeric summary — for up to 200 rows of missing_values/total_values records.","exampleAgentPrompt":"Can you run a duplicate key check and grouped numeric summary on my null coverage data? I have rows with row_id, dataset_group, date, missing_values, and total_values — here are up to 200 records — and I want to analyze the missing_values field.","exampleUseCases":[{"title":"Data pipeline null coverage audit","prompt":"I have a CSV export of my ETL pipeline's null coverage logs — each row has a row_id, dataset_group, date, missing_values, and total_values. Can you check for any duplicate row IDs and give me a grouped summary of missing_values broken down by dataset_group?"},{"title":"Dataset quality check before ingestion","prompt":"Before I ingest this batch of 150 dataset records into our warehouse, I want to catch any duplicate keys and see a grouped numeric breakdown of total_values by group — can you run those two reports on the data I'm providing?"},{"title":"Weekly missing-value trend review","prompt":"Here's this week's null coverage snapshot across our data groups — dates from 2025-01-01 to 2025-01-07, with missing_values and total_values per row. Please identify any duplicate row_ids and summarize the missing_values field grouped by dataset_group."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the submitted rows, and (2) a grouped numeric summary aggregating the selected field (missing_values or total_values) broken down by dataset_group. Both reports are computed locally without external lookups.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds limit","Missing required fields (row_id, dataset_group, date, missing_values, total_values) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","row_id exceeds 80 characters — rejected","field value not one of ['missing_values','total_values'] — enum validation error"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously identify duplicate row keys and obtain a grouped numeric summary of null coverage metrics (missing_values or total_values) across up to 200 records in a single $0.01 call, without requiring any live data lookup, external enrichment, or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:21.623Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-duplicate-key-report-grouped-numeric-summary-c3a2eff1"}