{"uid":"cap_oInvBViFcY7YjybU33vfi","slug":"time-series-completeness-duplicate-key-report-category-frequencies-a600353f","name":"Time Series Completeness — Duplicate Key Report + Category Frequencies","description":"Time series completeness — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies for supplied time series completeness records (observed_points, expected_points). 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-16-057?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","observed_points","expected_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_points":1,"observed_points":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_points":2,"observed_points":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":30}],"maxItems":200,"minItems":1}}},"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_6hoIEjZnL7yrN6QBPOHKe","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 time series completeness records to produce a duplicate key report and category frequency breakdown for observed vs. expected data points.","exampleAgentPrompt":"Can you run a duplicate key report and category frequency analysis on my time series completeness records? Here are up to 200 rows with row IDs, dataset groups like 'group-a' and 'group-b', dates, observed points, and expected points — I need to know which row IDs appear more than once and how often each dataset group shows up.","exampleUseCases":[{"title":"Auditing completeness log for duplicates","prompt":"I have a batch of time series completeness records — each has a row ID, a date, a dataset group, and observed vs expected point counts. Can you check whether any row IDs are duplicated and tell me the frequency of each dataset group across all 200 rows?"},{"title":"Data pipeline integrity check","prompt":"My pipeline emits completeness records daily with observed_points and expected_points per dataset group. Can you run a duplicate key report and category frequency breakdown on the last export so I can spot any repeated entries or skewed group distributions?"},{"title":"Multi-group completeness frequency summary","prompt":"I've got completeness tracking rows for several dataset groups — 'sensors-east', 'sensors-west', and 'sensors-north' — across October. Please give me a duplicate key report on the row IDs and a frequency count of how many rows each group has."}],"resultDescription":"Two independent analytical reports: (1) a duplicate key report identifying which row_id or key combinations appear more than once across the submitted rows, and (2) a category frequency table showing how often each dataset_group value appears. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","Submitting more than 200 rows exceeds the maxItems limit and will be rejected","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Null or out-of-range numeric values for observed_points or expected_points may cause computation errors","Empty rows array (minItems:1 violated) will return an error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 time series completeness records and need both a duplicate key audit and a category frequency breakdown in a single call for a flat $0.01 USDC. It is purpose-built for completeness data with observed_points and expected_points fields, unlike general-purpose analytics tools. Prefer it when you want two reports from one payment with no external data dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:05.233Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-duplicate-key-report-category-frequencies-a600353f"}