{"uid":"cap_MYryQoe5frcXL8Ywyq3Ac","slug":"data-freshness-trailing-mean-series-base-100-series-bf6fbfbf","name":"Data Freshness Trailing Mean Series + Base-100 Series","description":"Data freshness — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series for supplied data freshness records (age_minutes, record_count). 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-06-147?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","age_minutes","record_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"age_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"record_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","age_minutes":10,"record_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","age_minutes":20,"record_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","age_minutes":15,"record_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","age_minutes":30,"record_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["age_minutes","record_count"],"type":"string","default":"age_minutes"},"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_nyXiqKyQCdK344iZiDfRx","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 trailing mean series and base-100 indexed series for user-supplied data freshness records (age_minutes and record_count fields), returning two independent analytical reports in a single call.","exampleAgentPrompt":"Analyze my data freshness records — I have about 50 rows with date, age_minutes, and record_count — and give me both a trailing mean series using a window of 5 and a base-100 series anchored at index 0 for the age_minutes field.","exampleUseCases":[{"title":"Pipeline freshness trend smoothing","prompt":"I have 120 rows of daily data freshness logs with age_minutes values for two groups. Can you run a trailing mean with a window of 7 and a base-100 series starting at row 0 on the age_minutes field so I can see the smoothed trend and relative change over time?"},{"title":"Record count normalization for dashboard","prompt":"Take my 80 rows of dataset freshness records and compute a trailing mean series with window size 3 and a base-100 indexed series anchored at index 0 for the record_count field — I want to display normalized trends on a monitoring dashboard."},{"title":"Multi-group data staleness comparison","prompt":"I've got freshness data for two dataset groups — about 60 rows total — can you generate a trailing mean series with window 4 and a base-100 series using base index 0 on age_minutes so I can compare how staleness evolved in each group?"}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean series showing the rolling average of the selected field (age_minutes or record_count) over the specified window size, and (2) a base-100 indexed series normalizing values relative to the row at the specified base index. Results cover up to 200 input rows.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — exceeds maxItems limit","Invalid date format — must match YYYY-MM-DD pattern","Window size less than 2 or greater than 200 — out of allowed range","Base index out of range — must be between 0 and 199 and within the number of rows supplied","Field value not 'age_minutes' or 'record_count' — only these two enums are accepted","Payment not attached or insufficient — requires 0.01 USDC via x402"],"whenToPreferThis":"Choose this endpoint when you have tabular data freshness records with date, age_minutes, and record_count columns and need both a rolling average time series and a base-100 normalized index in a single low-cost call. It is ideal for monitoring pipelines, data quality dashboards, or operational reporting where you want smoothed trends and relative change without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T07:25:40.110Z","isFirstParty":false,"canonicalSlug":"data-freshness-trailing-mean-series-base-100-series-bf6fbfbf"}