{"uid":"cap_yJTtAqLAJx0l050C03zh5","slug":"duplicate-observations-analyzer-numeric-row-ordering-base-100-series-962a3064","name":"Duplicate Observations Analyzer — Numeric Row Ordering & Base-100 Series","description":"Duplicate observations — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series for supplied duplicate observations records (duplicate_rows, total_rows). 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-04-117?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_rows"},"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_-7LA4udvpSKpIFpN9rD3G","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":"Generates two analytical reports (numeric row ordering and base-100 indexed series) for supplied duplicate-observation records across up to 200 rows.","exampleAgentPrompt":"I have 4 dataset quality records and want two reports: first rank them numerically by duplicate_rows count, and second index them to a base-100 series starting at row 0 — the records are: group-a on 2026-10-01 had 10 duplicates out of 1 total, group-b on 2026-10-02 had 20 out of 2, group-a on 2026-10-03 had 15 out of 3, group-b on 2026-10-04 had 30 out of 4.","exampleUseCases":[{"title":"Baseline duplicate rate trend tracking","prompt":"I have monthly duplicate-row counts for three dataset groups across 12 time periods — can you index the duplicate_rows field to a base-100 series starting at row 0 and also give me a numeric ranking of all records so I can see which months had the worst duplication?"},{"title":"Cross-group data quality comparison","prompt":"We have 50 records from two dataset groups showing duplicate_rows and total_rows by date — rank them numerically by total_rows and produce a base-100 index so we can compare quality across groups on an equal footing."},{"title":"Spotting duplicate spikes after data migration","prompt":"After our migration we collected 80 daily observations of duplicate_rows and total_rows per dataset group — please run the numeric ordering and base-100 series reports on duplicate_rows starting from index 0 so we can see where duplication spiked."}],"resultDescription":"Returns two independent analytical reports for the supplied rows: (1) a numeric row-ordering report ranking each record by the selected field (duplicate_rows or total_rows), and (2) a base-100 indexed series anchored at the specified base_index row, both computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","base_index out of range (0–199) relative to provided rows — error","Numeric field values outside allowed range (±1 trillion) — rejection","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 duplicate-observation records and need both a numeric ranking and a base-100 indexed time series in a single low-cost call. It is ideal for offline/batch data quality analysis where no live data lookup, prediction, or external action is required. Prefer it over general analytics APIs when the specific combination of row ordering plus base-100 normalization for duplicate-row metrics is the goal.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:20.416Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analyzer-numeric-row-ordering-base-100-series-962a3064"}