{"uid":"cap_c0ZHH77HGgflXHMUUMz60","slug":"sampling-observations-trailing-mean-series-base-100-series-bf9e4c5e","name":"Sampling Observations — Trailing Mean Series + Base-100 Series","description":"Sampling observations — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series for supplied sampling observations records (sample_value, sample_weight). 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-15-147?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","sample_value","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"},"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_igYwBngMj9jddqmCbk0CB","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 two analytical reports — a trailing mean time series and a base-100 indexed series — from user-supplied sampling observation rows (sample_value, sample_weight) with up to 200 rows.","exampleAgentPrompt":"I have 50 daily sample_value observations across two groups — can you compute a 7-day trailing mean series and a base-100 index series starting from row 0, analyzing the sample_value field?","exampleUseCases":[{"title":"Smoothing weekly sales sample data","prompt":"I have 120 rows of weekly sales sample observations with dates and weights — run a trailing mean with a window of 4 and a base-100 series starting at index 0 on the sample_value field so I can see smoothed trends and relative growth."},{"title":"Normalizing sensor readings to baseline","prompt":"I've got 80 sensor readings as sampling observations with dates — can you compute a 5-period trailing mean and a base-100 normalized series anchored to the first reading so I can compare each reading to the baseline?"},{"title":"Comparing survey response groups over time","prompt":"I have 150 survey response records split across two dataset groups with sample values and weights — please run both a trailing mean with window size 3 and a base-100 index from row 0 on the sample_value field to see group trends side by side."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a trailing mean series showing rolling averages over the specified window, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally on the supplied data without any external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — validation error","window size larger than the number of rows causing insufficient data for trailing mean","base_index out of bounds (>=200 or >= number of rows) causing indexing error","date fields not matching YYYY-MM-DD pattern — schema validation failure","sample_value or sample_weight values exceeding ±1,000,000,000,000 boundary","missing required fields (row_id, dataset_group, date, sample_value, sample_weight) per row","Payment not completed via x402 protocol — endpoint returns 402"],"whenToPreferThis":"Choose this endpoint when you need two complementary time series analytics — rolling mean smoothing and base-100 normalization — applied to your own supplied observation data in a single call. Ideal for offline/batch analytical use cases where you already have the data and need fast, local computation without external data fetches, predictions, or professional assessments. Prefer this over single-report endpoints when both smoothing and indexing are needed simultaneously to save cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:43.840Z","isFirstParty":false,"canonicalSlug":"sampling-observations-trailing-mean-series-base-100-series-bf9e4c5e"}