{"uid":"cap_bLMVRexmk8WMPFirNan31","slug":"null-coverage-analytics-numeric-distribution-base-100-series-0b4fbb92","name":"Null Coverage Analytics: Numeric Distribution + Base-100 Series","description":"Null coverage — Numeric distribution + Base-100 series: Numeric distribution + Base-100 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-03-078?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_etw_J_de07PO4xa0NrQMR","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 numeric distribution statistics and a base-100 indexed series for supplied null coverage data (missing_values and total_values fields) across up to 200 rows.","exampleAgentPrompt":"I have null coverage records for two groups — 'group-a' and 'group-b' — with dates from 2026-10-01 to 2026-10-04 and their missing_values and total_values counts. Can you run a numeric distribution report and a base-100 series (starting from index 0) on the missing_values field for up to 4 rows?","exampleUseCases":[{"title":"Data Quality Audit Across Dataset Groups","prompt":"I have a table of 50 rows tracking missing_values and total_values across three dataset groups over the past month. Can you give me the numeric distribution and a base-100 series for missing_values, starting the index at row 0?"},{"title":"Null Rate Trend Indexing for Reporting","prompt":"I want to index my null coverage data to base 100 so I can compare trends across periods — I have 120 rows with date, dataset_group, missing_values, and total_values. Run both the distribution and base-100 series on total_values, starting from base index 0."},{"title":"Data Completeness Summary for Pipeline Monitoring","prompt":"We're monitoring data pipeline completeness and have 30 records with missing_values and total_values per group per day. Can you compute the numeric distribution and base-100 series for the missing_values field, starting the base index at row 5?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution breakdown of the selected field (missing_values or total_values) across the supplied rows, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally without any external lookups.","failureModes":["Missing required fields (row_id, date, missing_values, total_values) cause validation errors","Date values not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the maxItems limit","null or out-of-range numeric values for missing_values or total_values may be flagged","base_index out of range (0-199) causes an error","Empty rows array is rejected"],"whenToPreferThis":"Choose this endpoint when you have pre-collected null coverage records (missing_values, total_values) and need two reports — numeric distribution and a base-100 series — computed offline without any live data lookup. It is ideal for data quality monitoring pipelines, batch reporting on completeness metrics, and trend indexing tasks where up to 200 rows of grouped time-series data need local statistical analysis in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:54:56.812Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-distribution-base-100-series-0b4fbb92"}