{"uid":"cap_wE7eI_1NIjB3xBeXwCQP1","slug":"null-coverage-analytics-numeric-interval-filter-daily-sum-series-c0accc22","name":"Null Coverage Analytics — Numeric Interval Filter + Daily Sum Series","description":"Null coverage — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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-03-125?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_xXN37jdPl-kz5G_R4HHdn","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":"Applies a numeric interval filter and computes daily sum series on supplied null-coverage (missing_values, total_values) records, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have null coverage records for two dataset groups from October 2026 — can you filter on the missing_values field where values are between 5 and 25, and give me both the numeric interval breakdown and the daily sum series for all 4 rows?","exampleUseCases":[{"title":"Daily missing value trend by group","prompt":"I have 150 rows of null coverage data across several dataset groups spanning the last quarter — filter the missing_values field between 0 and 50 and show me the daily sum series so I can see which days had the most gaps."},{"title":"Data quality interval audit","prompt":"Can you run an interval filter on our total_values field between 100 and 10000 for these 80 null-coverage records, and give me both the filtered breakdown and the daily aggregate report?"},{"title":"Completeness monitoring for pipeline output","prompt":"Here are 200 rows of pipeline completeness records with missing_values and total_values per day — filter missing_values from 0 to 100 and give me the daily sum series so I can spot which dates are problematic."}],"resultDescription":"Two analytical reports: (1) records from the supplied rows whose chosen field (missing_values or total_values) falls within the specified [minimum, maximum] interval, and (2) a daily sum series aggregating that field by date — both derived purely from the supplied data, with no external lookup or live data.","failureModes":["Fewer than 1 row supplied — request rejected (minItems: 1)","More than 200 rows supplied — request rejected (maxItems: 200)","Date field not in YYYY-MM-DD format — validation error","missing_values or total_values outside ±1,000,000,000,000 — rejected","Unrecognized field enum value (must be 'missing_values' or 'total_values') — validation error","No rows fall within the specified minimum/maximum interval — empty filtered report returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 null-coverage or data-quality records (with missing_values and total_values per date) and need both a numeric range filter and a daily aggregation in a single low-cost call. It is ideal for offline/batch data quality audits where no live data fetch is needed and you want two complementary analytical views — interval filtering plus daily sums — without writing custom analytics code.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:51:35.394Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-interval-filter-daily-sum-series-c0accc22"}