{"uid":"cap_fc8ipIB5WIuLglSdYiVxF","slug":"duplicate-observations-trailing-mean-series-base-100-series-b77d03ff","name":"Duplicate Observations — Trailing Mean Series + Base-100 Series","description":"Duplicate observations — Trailing mean series + Base-100 series: Trailing mean series + 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-04-147?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},"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_dzS0n4TRFWbGvwQHlzHnZ","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 trailing mean time series and a base-100 indexed series for duplicate_rows or total_rows metrics across up to 200 supplied observation records.","exampleAgentPrompt":"Run both the trailing mean and base-100 series reports on my duplicate observation data — I have 4 records with dates from 2026-10-01 to 2026-10-04, duplicate_rows values of 10, 20, 15, 30, and total_rows of 1, 2, 3, 4, grouped into group-a and group-b. Use a trailing window of 2 and base the index at row 0, analyzing the duplicate_rows field.","exampleUseCases":[{"title":"Monitor deduplication trends over time","prompt":"I have daily duplicate row counts for my dataset over the past month — can you compute a trailing mean with window size 3 and a base-100 index series starting from day 0 for the duplicate_rows field so I can see how deduplication quality is trending?"},{"title":"Compare dataset groups by duplication rate","prompt":"I've got 50 records across two dataset groups tracking total_rows over time — run the trailing mean and base-100 reports with a window of 5 and base index at 0 on the total_rows field so I can compare how each group's row counts have grown relative to baseline."},{"title":"Baseline data quality audit before pipeline change","prompt":"Before we switch to our new ingestion pipeline, I want a trailing mean and base-100 series on our duplicate_rows observations for the last 3 months — window size 7, base index at 0 — so we have a pre-change baseline to compare against afterwards."}],"resultDescription":"Two independent analytical reports: (1) a trailing mean series smoothing the selected metric (duplicate_rows or total_rows) over the specified window, and (2) a base-100 indexed series anchored to the specified base index row — both derived purely from the supplied input records, with no external lookups.","failureModes":["Fewer than 1 row supplied — validation error on minItems constraint","Window size larger than the number of rows provided — may produce sparse or empty trailing mean output","base_index out of range for the dataset size — index error","date strings not matching YYYY-MM-DD pattern — schema validation rejection","numeric values exceeding ±1,000,000,000,000 — schema validation rejection","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected duplicate observation records (with duplicate_rows and total_rows per date) and need both a smoothed trailing mean and a base-100 indexed perspective in a single low-cost call. It is ideal for offline data quality trend analysis where no live data lookup or external enrichment is needed. Prefer this over single-report alternatives when you want both trailing mean and base-100 series together for up to 200 rows at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:45.058Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-trailing-mean-series-base-100-series-b77d03ff"}