{"uid":"cap_4oJiMtWl9TS4CLFFWSKKr","slug":"time-series-completeness-trailing-mean-base-100-analysis-7ae45568","name":"Time Series Completeness — Trailing Mean + Base-100 Analysis","description":"Time series completeness — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series for supplied time series completeness records (observed_points, expected_points). 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-16-147?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","observed_points","expected_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_points":1,"observed_points":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_points":2,"observed_points":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_points","expected_points"],"type":"string","default":"observed_points"},"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_fzVID30uVaLHOQxgKXNQ-","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 index series for time series completeness records (observed vs expected data points), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a trailing mean and base-100 completeness analysis on my dataset? I have daily records for two groups (group-a and group-b) from October 2026 with observed_points and expected_points — use a window of 3 and base index 0, analyzing the observed_points field.","exampleUseCases":[{"title":"Monitoring pipeline data gaps over time","prompt":"I have 90 days of pipeline metrics with observed and expected data point counts per day per pipeline group. Can you compute the trailing mean (window=7) and base-100 index (base index 0) on observed_points so I can see where completeness is drifting?"},{"title":"Benchmarking sensor coverage against expected readings","prompt":"Here are 150 daily rows of sensor data with observed_points and expected_points for two sensor groups. Run the trailing mean with a window of 5 and a base-100 series starting at index 0 on observed_points so I can spot coverage degradation."},{"title":"Comparing dataset completeness before and after a migration","prompt":"I have 60 rows of completeness records split into pre-migration and post-migration groups. Can you calculate the trailing mean (window=4) and base-100 series (base index 0) on the expected_points field so I can see if completeness improved after the migration?"}],"resultDescription":"Returns two reports: (1) a trailing mean series that smooths the selected field (observed_points or expected_points) over the specified rolling window, and (2) a base-100 index series that normalizes values relative to the chosen base index row — both computed across all supplied rows, grouped by dataset_group and date.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected with max items error","Window size larger than number of rows — trailing mean may be undefined or partial for early rows","base_index out of range for provided rows — index error","Null values in observed_points or expected_points — may produce null/NaN entries in output series","Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need dual analytical outputs (trailing mean + base-100 normalization) on completeness time series data in a single $0.01 call, covering up to 200 rows with no external data dependencies. Prefer it for offline/batch analytical tasks on pre-collected completeness records rather than live monitoring or prediction scenarios.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:41.747Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-trailing-mean-base-100-analysis-7ae45568"}