{"uid":"cap_Jd4TJvWM8nlBR-X54DPNz","slug":"null-coverage-analytics-category-frequencies-base-100-series-7f540a96","name":"Null Coverage Analytics: Category Frequencies + Base-100 Series","description":"Null coverage — Category frequencies + Base-100 series: Category frequencies + 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-03-105?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_b9ay1wzKwwl7fygFfo0C0","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":"Analyzes null coverage records (missing_values, total_values) to produce category frequency distributions and a base-100 indexed time series for up to 200 rows.","exampleAgentPrompt":"Analyze my null coverage data — I have rows with missing_values and total_values across two groups, 'group-a' and 'group-b', dated 2026-10-01 through 2026-10-04. Give me both the category frequencies and a base-100 series anchored to row 0, using the missing_values field.","exampleUseCases":[{"title":"Audit null rates by dataset group","prompt":"I have 50 rows of null coverage records across three dataset groups with dates and missing/total value counts. Can you run category frequency and base-100 series reports on my missing_values field, starting the index at row 0?"},{"title":"Track data completeness over time","prompt":"I want to see how missing_values have trended relative to a baseline across my dataset groups — here are 120 rows with dates from January through April. Run a base-100 series anchored to the first row and include category frequencies for total_values."},{"title":"Compare null coverage across ETL pipeline stages","prompt":"My ETL pipeline produces null coverage records for three stages labeled 'raw', 'cleaned', and 'validated'. I have 80 rows with missing_values and total_values. Can you give me the category frequency breakdown and a base-100 series using missing_values so I can see which stage has the worst coverage?"}],"resultDescription":"Returns two analytical reports: (1) category frequencies showing the distribution of values across dataset_group categories, and (2) a base-100 indexed time series for the selected numeric field (missing_values or total_values), anchored to the specified base_index row. Covers up to 200 input rows with no external lookups.","failureModes":["Missing required fields (row_id, dataset_group, date, missing_values, total_values) returns validation error","More than 200 rows submitted exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","base_index out of range (>=200 or <0) triggers a parameter error","Null values in both missing_values and total_values may produce incomplete series output","Payment of 0.01 USDC not received results in 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have structured null coverage records with missing_values and total_values fields and need both a categorical frequency breakdown and a normalized trend index in a single call. Ideal for data quality audits, ETL monitoring, and completeness reporting where no external data lookup or prediction is needed — all computation is local and deterministic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:22.646Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-category-frequencies-base-100-series-7f540a96"}