{"uid":"cap_zVt8PH_Z2H9H2SJ1pEWNJ","slug":"null-coverage-analytics-adjacent-row-changes-equal-width-histogram-324e7fdb","name":"Null Coverage Analytics: Adjacent Row Changes + Equal-Width Histogram","description":"Null coverage — Adjacent row changes + Equal-width histogram: Adjacent row changes + 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-03-156?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"}}},"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_7OjGCq-lipDdRAQF31Vkm","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 adjacent row changes and an equal-width histogram for null coverage data (missing_values, total_values) across up to 200 supplied rows.","exampleAgentPrompt":"Can you run an adjacent row changes report and a 10-bin equal-width histogram on this null coverage dataset — use the missing_values field — I have 50 rows with row_id, dataset_group, date, missing_values, and total_values?","exampleUseCases":[{"title":"Data quality drift detection","prompt":"I have 120 rows of daily null coverage data with missing_values and total_values per dataset group. Can you compute the adjacent row changes and a 5-bin histogram on missing_values so I can see where data quality is degrading?"},{"title":"Histogram binning for completeness audit","prompt":"Run an equal-width histogram with 15 bins on the total_values field across my 80-row null coverage dataset — I want to understand the distribution of record counts across groups."},{"title":"Identifying anomalous null spikes","prompt":"I need to spot sudden jumps in missing_values across consecutive rows in my 200-row dataset. Can you produce the adjacent row changes report and a 10-bin histogram on missing_values to flag any outliers?"}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing deltas between consecutive rows for the selected field, and (2) an equal-width histogram with the specified number of bins summarizing the distribution of values across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, missing_values, total_values) in any row — validation error","bins value outside 1–30 range — rejected","Invalid date format (not YYYY-MM-DD) — row validation failure","Field enum value other than 'missing_values' or 'total_values' — rejected","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Use this endpoint when you have up to 200 rows of null coverage data and need both a sequential delta analysis (adjacent row changes) and a histogram distribution in a single call. Ideal for data quality monitoring pipelines where you want two complementary views — temporal change and overall distribution — of missing or total value counts without any external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:21.964Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-adjacent-row-changes-equal-width-histogram-324e7fdb"}