{"uid":"cap_R3GShMYQtRRW8qTT9Zj9P","slug":"null-coverage-analytics-duplicate-key-report-equal-width-histogram-f085a752","name":"Null Coverage Analytics — Duplicate Key Report + Equal-Width Histogram","description":"Null coverage — Duplicate key report + Equal-width histogram: Duplicate key report + Equal-width histogram 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-03-064?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","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_eJ2qieWF1sXgtTYVmvP2r","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":"Generates two local analytical reports — a duplicate key report and an equal-width histogram — for supplied null coverage records containing missing_values and total_values fields, for up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key report and an equal-width histogram (5 bins) on my null coverage data for the missing_values field? Here are my rows: row-1, group-a, 2026-10-01, missing=10, total=100; row-2, group-b, 2026-10-02, missing=20, total=200; row-3, group-a, 2026-10-01, missing=10, total=100.","exampleUseCases":[{"title":"Null coverage key deduplication check","prompt":"I have 150 rows of null coverage records with row_id, dataset_group, date, missing_values, and total_values — can you run a duplicate key report on them and also show me a histogram of missing_values across 10 bins?"},{"title":"Data quality histogram for missing values","prompt":"Generate an equal-width histogram with 8 bins for the missing_values field in my dataset quality records and flag any duplicate keys — I have about 80 rows across two dataset groups."},{"title":"Audit dataset completeness distribution","prompt":"I want to audit how my total_values are distributed across 5 equal-width bins and also check if there are any duplicate row IDs in my null coverage export — can you run both reports on my 200-row dataset?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) an equal-width histogram partitioning the selected numeric field (missing_values or total_values) into up to 30 bins with row counts per bin. Both reports are computed locally on the supplied data without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","rows array is empty or missing — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","bins value outside 1–30 range — validation error","field value not one of 'missing_values' or 'total_values' — enum validation failure","All values are null for the selected field — histogram may be empty or degenerate","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and a distribution histogram on null coverage data (missing_values, total_values) in a single call for up to 200 rows, without any need for external data enrichment, live lookups, or predictions. It is particularly suited for lightweight, local data quality profiling workflows where cost efficiency (two reports for $0.01 USDC) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:21.964Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-duplicate-key-report-equal-width-histogram-f085a752"}