{"uid":"cap_Q-EX0s2v54E5tYSHfrrK1","slug":"null-coverage-analytics-numeric-interval-filter-equal-width-histogram-e45fbcbb","name":"Null Coverage Analytics: Numeric Interval Filter + Equal-Width Histogram","description":"Null coverage — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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-03-129?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_Fnc2SyM5JjBQUOt4xF0aJ","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":"Filters null-coverage records by a numeric interval and produces an equal-width histogram, delivering two analytical reports for up to 200 rows of missing/total value data.","exampleAgentPrompt":"I have null coverage records for my datasets — can you filter the missing_values field between 0 and 50, bucket them into 10 equal-width histogram bins, and give me both the interval filter and histogram reports? Here are my rows: row-1 (group-a, 2024-01-01, missing=5, total=100), row-2 (group-b, 2024-01-02, missing=25, total=200), row-3 (group-a, 2024-01-03, missing=45, total=150).","exampleUseCases":[{"title":"Data Quality Audit by Null Rate","prompt":"I want to audit null coverage across my pipeline datasets — filter on missing_values between 0 and 100 with 8 bins and show me the histogram and interval breakdown for these 20 rows I'm uploading."},{"title":"Completeness Check Across Dataset Groups","prompt":"Can you analyze completeness for my dataset groups? I have records with missing_values and total_values — filter the total_values field between 50 and 500, use 5 bins, and give me both the interval filter and equal-width histogram reports."},{"title":"Outlier Null Coverage Detection","prompt":"I need to spot anomalies in null coverage — run the interval filter on missing_values from 0 to 30 with 6 histogram bins for my 80 records spanning October 2024, and show me which rows fall outside the range too."}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter report listing which rows fall within the specified [minimum, maximum] range for the chosen field, and (2) an equal-width histogram report showing bin boundaries and record counts across the specified number of bins — all computed locally on the supplied rows without external lookups.","failureModes":["Rows array empty or missing — returns validation error","More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) in any row — validation failure","bins value outside 1–30 range — rejected","minimum greater than maximum — may produce empty interval filter","null values in the selected field — rows may be excluded from interval filter","total_values or missing_values out of allowed numeric range — validation error"],"whenToPreferThis":"Choose this endpoint when you need two complementary views of numeric null-coverage data in a single call: an interval filter (which records fall within a specified range) and an equal-width histogram (how records distribute across bins). It is ideal for data-quality pipelines where you want a quick statistical snapshot of missing or total value distributions across dataset groups, without needing live data lookup or external enrichment. Best suited for batch sizes up to 200 rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:15.021Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-interval-filter-equal-width-histogram-e45fbcbb"}