{"uid":"cap_jKZtRmv-mPr5ulWj4AU6C","slug":"null-coverage-analytics-exact-row-deduplication-base-100-series-0d8bf5cd","name":"Null Coverage Analytics: Exact Row Deduplication + Base-100 Series","description":"Null coverage — Exact row deduplication + Base-100 series: Exact row deduplication + 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-03-047?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_uuakawGefpo2EQhlCU4jd","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 supplied null coverage records (missing_values, total_values) by performing exact row deduplication and generating a base-100 indexed time series report.","exampleAgentPrompt":"Can you deduplicate these null coverage rows and give me a base-100 indexed series for missing_values starting at index 0? I have 4 rows across two groups — group-a and group-b — dated from 2026-10-01 to 2026-10-04, with missing_values of 10, 20, 15, and 30 and total_values of 1, 2, 3, and 4.","exampleUseCases":[{"title":"Data pipeline quality audit","prompt":"I have a dataset of 120 records from three groups logged daily in October 2026, each with missing_values and total_values counts. Can you deduplicate exact duplicate rows and give me a base-100 series for missing_values starting from index 0 so I can see how null coverage has trended relative to the first row?"},{"title":"Comparing null rates across dataset groups","prompt":"Run a null coverage analysis on these records — I want to deduplicate any exact duplicates and then index total_values to base 100 starting at row 5. My data has groups like 'finance' and 'ops' with dates in 2025 and around 80 rows total."},{"title":"Normalizing missing value series for a report","prompt":"I need to produce a clean base-100 indexed series for missing_values across my 50-row dataset so I can compare null coverage trends between two dataset groups. Please also remove any exactly duplicated rows before generating the report."}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied dataset, and (2) a base-100 indexed time series for the selected field (missing_values or total_values), normalized relative to the specified base_index row. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Empty or malformed rows array returns a validation error","date field not matching YYYY-MM-DD pattern causes schema rejection","More than 200 rows submitted exceeds the maxItems limit and is rejected","missing required fields (row_id, dataset_group, date, missing_values, total_values) in any row causes error","base_index pointing to a row that doesn't exist after deduplication may produce an undefined base reference","Payment failure (non-402-compliant client) results in access denied"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of null coverage data (missing_values, total_values per date and dataset group) and need both exact deduplication and a base-100 indexed series in a single low-cost call ($0.01 USDC). It is purely analytical — no live data fetching, predictions, or external actions — making it ideal for offline data quality workflows where you supply the data yourself.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:04.829Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-exact-row-deduplication-base-100-series-0d8bf5cd"}