{"uid":"cap_VdgKwm5f1J3WY2AWjI0n9","slug":"null-coverage-analytics-numeric-distribution-adjacent-row-changes-0e609afa","name":"Null Coverage Analytics: Numeric Distribution + Adjacent Row Changes","description":"Null coverage — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-03-077?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_WNouz9aKFWq47lDdKlBSA","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 — numeric distribution and adjacent row changes — on null coverage data (missing_values, total_values) for up to 200 rows.","exampleAgentPrompt":"Can you run the numeric distribution and adjacent row changes reports on my null coverage data? I have 4 rows with row IDs row-1 through row-4, dates from 2026-10-01 to 2026-10-04, dataset groups group-a and group-b, and I want to analyze the missing_values field.","exampleUseCases":[{"title":"Daily null coverage trend audit","prompt":"I want to see how my missing_values counts are shifting day over day across my dataset groups — can you run the adjacent row changes and numeric distribution reports on these 50 rows of null coverage data, analyzing the missing_values field?"},{"title":"Total values spread analysis","prompt":"Can you analyze the numeric distribution and row-to-row changes in total_values for my 120-row null coverage dataset? Groups are prod-a and prod-b with dates spanning the last quarter."},{"title":"Data quality pipeline check","prompt":"Before I ship this dataset, run the two null coverage reports — numeric distribution and adjacent row changes — on my 30 records so I can see the spread and any big jumps in missing_values between consecutive rows."}],"resultDescription":"Two analytical reports returned together: (1) a numeric distribution summary of the selected field (missing_values or total_values) across the supplied rows, and (2) an adjacent row changes report showing value deltas between consecutive rows — all computed locally with no external lookups, covering up to 200 input rows.","failureModes":["Input array empty or missing — validation error returned","Row count exceeds 200 items — request rejected","Invalid date format (not YYYY-MM-DD) — schema validation failure","missing_values or total_values outside allowed numeric range — validation error","Field enum value not 'missing_values' or 'total_values' — validation error","row_id missing or empty string — required field error"],"whenToPreferThis":"Choose this endpoint when you need two complementary null coverage reports in a single $0.01 call: a numeric distribution view and a row-adjacency change view on the same field, using only your supplied data with no external dependencies. Prefer it over single-report siblings when you want both distribution shape and sequential delta signals together for up to 200 rows of missing_values or total_values records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:14.854Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-distribution-adjacent-row-changes-0e609afa"}