{"uid":"cap_WogeUWEQp4nYtZaXSEB8y","slug":"null-coverage-analytics-daily-sum-series-secondary-measure-weighted-7e87a663","name":"Null Coverage Analytics — Daily Sum Series & Secondary-Measure Weighted Mean","description":"Null coverage — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean 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-03-142?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_XUTDhCP0Un0jTIW9RITwQ","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":"Computes a daily sum time series and a secondary-measure weighted mean from user-supplied null coverage records (missing_values, total_values) for up to 200 rows.","exampleAgentPrompt":"I have 4 rows of null coverage data — for group-a on 2026-10-01 missing_values=10 total_values=1, group-b on 2026-10-02 missing_values=20 total_values=2, group-a on 2026-10-03 missing_values=15 total_values=3, group-b on 2026-10-04 missing_values=30 total_values=4 — can you give me the daily sum series and the weighted mean report for the missing_values field?","exampleUseCases":[{"title":"Daily missing-data trend for pipeline audit","prompt":"Here are 10 days of pipeline null coverage records with missing_values and total_values for groups A and B — can you compute the daily sum series and weighted mean so I can see which days had the most missing data?"},{"title":"Data quality report for two dataset groups","prompt":"I've got about 50 rows of null coverage records spanning October 2026, split across two dataset groups. Run the daily sum and weighted mean analytics on the missing_values field so I can compare data completeness across the groups."},{"title":"Completeness check before model training","prompt":"Before I train my model, I want to understand the null coverage in my feature dataset. I have 150 rows with dates, missing_values, and total_values — can you give me the daily sum series and secondary-measure weighted mean on total_values to flag any problematic days?"}],"resultDescription":"Returns two analytical reports derived from the supplied null coverage rows: (1) a daily sum series aggregating the selected field (missing_values or total_values) by date, and (2) a secondary-measure weighted mean across the records. Both reports are computed locally from the submitted data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, missing_values, total_values) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of allowed enum values ('missing_values','total_values') — rejected","Payment of 0.01 USDC not processed — 402 response blocking execution"],"whenToPreferThis":"Choose this endpoint when you have pre-collected null coverage records (missing_values and total_values per date and dataset group) and need both a daily aggregation time series and a weighted mean in a single paid call. It is ideal for lightweight, offline-style data quality analytics on small-to-medium datasets (up to 200 rows) without needing a live data connection or external database.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:12.921Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-daily-sum-series-secondary-measure-weighted-7e87a663"}