{"uid":"cap_nzwqOXsv73rTHZsge9nro","slug":"null-coverage-analytics-exact-row-deduplication-adjacent-row-changes-5dcd6895","name":"Null Coverage Analytics: Exact Row Deduplication + Adjacent Row Changes","description":"Null coverage — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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-03-046?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_OJ0e5Tz1ylfiJlNrvIbQc","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 up to 200 null-coverage records (missing_values, total_values) to produce two reports: exact row deduplication and adjacent row change detection.","exampleAgentPrompt":"Can you run a deduplication and adjacent-row-change analysis on these null coverage records — I have up to 50 rows with row_id, dataset_group, date, missing_values, and total_values fields — and give me both reports?","exampleUseCases":[{"title":"Deduplicating a data quality audit log","prompt":"I have a batch of ~80 null coverage records from our data quality audit — each row has a row_id, dataset_group, date, missing_values, and total_values. Can you deduplicate them exactly and also show me where adjacent rows changed in the missing_values field?"},{"title":"Detecting consecutive changes in missing value counts","prompt":"Here are 120 rows of null coverage data across several dataset groups with dates in 2025. I want to see which adjacent rows have different total_values readings — can you run the adjacent row change report on the total_values field and also deduplicate exact duplicates?"},{"title":"Validating completeness records before pipeline handoff","prompt":"Before I hand off this dataset to the next pipeline stage, can you check these 40 null coverage rows for exact duplicates and flag any adjacent-row changes in missing_values so I know if anything unexpected shifted between records?"}],"resultDescription":"Returns two independent analytical reports for the submitted rows: (1) an exact row deduplication report identifying which rows are identical across all fields, and (2) an adjacent row changes report highlighting where consecutive rows differ in the specified field (missing_values or total_values). No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["More than 200 rows submitted — request rejected, reduce batch size to ≤200","Missing required fields (row_id, dataset_group, date, missing_values, total_values) — validation error returned","Invalid date format (not YYYY-MM-DD) — schema validation failure","Non-numeric value in missing_values or total_values — type error","Empty rows array — minimum 1 item required","Values outside allowed range (±1,000,000,000,000) — validation rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline deduplication and adjacent-row-change detection specifically for null coverage or missing-value datasets of up to 200 rows, without needing live lookups, predictions, or external integrations. It is ideal for data quality pipelines that need two focused analytical passes (deduplication + row diffs) in a single low-cost call. Prefer alternatives if you need more than 200 rows, richer statistical analysis, or integration with live data sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:06.119Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-exact-row-deduplication-adjacent-row-changes-5dcd6895"}