{"uid":"cap_6na4egblyOI7xG4ith_tE","slug":"duplicate-observations-daily-sum-series-trailing-mean-series-3b270dec","name":"Duplicate Observations — Daily Sum Series + Trailing Mean Series","description":"Duplicate observations — Daily sum series + Trailing mean series: Daily sum series + Trailing mean 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-04-136?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_6LGD0HXYXaF5KOiczk0Rk","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 a daily sum time series and a trailing moving-average series for supplied duplicate-observation records (duplicate_rows and total_rows fields), returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 rows of duplicate-observation data for groups A and B from Oct 1–4 2026 — can you run both a daily sum series and a trailing mean series (window of 2) on the duplicate_rows field, using this row data: row-1 group-a 2026-10-01 dup=10 total=1, row-2 group-b 2026-10-02 dup=20 total=2, row-3 group-a 2026-10-03 dup=15 total=3, row-4 group-b 2026-10-04 dup=30 total=4?","exampleUseCases":[{"title":"Daily dedup trend for data pipeline audit","prompt":"I've got daily duplicate-row counts for my ingestion pipeline across two dataset groups for the past week — can you compute both the daily sum series and a 3-day trailing mean on the duplicate_rows field so I can spot where duplication is spiking?"},{"title":"Rolling average on total rows for capacity planning","prompt":"Run a daily sum and a trailing mean with window 5 on total_rows for these 20 records across my dataset groups — I want to see the smoothed trend to help with capacity planning."},{"title":"Data quality report for duplicate anomaly detection","prompt":"Here are 50 rows of duplicate observation records tagged by dataset group and date — generate the daily sum series and trailing mean series for duplicate_rows with a window of 7 so I can flag anomalous spikes in a data quality dashboard."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series aggregating the selected field (duplicate_rows or total_rows) by date, and (2) a trailing moving-average series using the specified window size — both computed locally from the supplied row records without any external lookups.","failureModes":["Input array is empty or exceeds 200 rows — validation error","date field does not match YYYY-MM-DD pattern — schema validation failure","window value outside 2–200 range — rejected input","numeric fields exceed allowed magnitude (±1 trillion) — validation error","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected duplicate-observation records and need both a daily aggregation series AND a smoothed trailing mean in a single low-cost call ($0.01 USDC). Prefer it over general analytics tools when the data is already structured with row_id, dataset_group, date, duplicate_rows, and total_rows fields and no live data fetching, prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:16:26.024Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-daily-sum-series-trailing-mean-series-3b270dec"}