{"uid":"cap_4bhM3DwFe724tHHwsznHj","slug":"time-series-completeness-numeric-row-ordering-trailing-mean-series-ea6195ce","name":"Time Series Completeness — Numeric Row Ordering + Trailing Mean Series","description":"Time series completeness — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean 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-16-115?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}}},"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_TagrESWW5_OGK7iud47P_","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 numeric row ordering and trailing mean series analytics for time series completeness records (observed vs expected data points) over up to 200 rows.","exampleAgentPrompt":"Analyze my time series completeness data — I have 50 rows with dates, dataset groups, observed_points, and expected_points values — and give me both a numeric row ordering report and a trailing mean series report using a window of 5 on the observed_points field.","exampleUseCases":[{"title":"IoT sensor data gap detection","prompt":"I have daily completeness records for my IoT sensor streams — each row has a date, a sensor group name, how many data points were observed, and how many were expected. Can you run numeric row ordering and a trailing mean with a window of 7 on the observed_points field across my 120 rows so I can spot where coverage is dropping?"},{"title":"Pipeline monitoring completeness trend","prompt":"My data pipeline logs daily observed versus expected event counts for three dataset groups over the past 90 days. Please compute the numeric row ordering and trailing mean series with a window of 10 on expected_points so I can see the smoothed completeness trend for each group."},{"title":"Reporting dataset audit completeness","prompt":"I need to audit completeness for our reporting datasets — I'll give you 200 rows with dates, group labels, observed and expected point counts. Run both the numeric row ordering and trailing mean series (window size 3) on observed_points and give me the two reports."}],"resultDescription":"Returns two analytical reports sharing local analytical engines: (1) a numeric row ordering report ranking the input rows by the selected field, and (2) a trailing mean series showing the rolling average of the selected field over the specified window size — all computed against the supplied time series completeness data without any live lookups or external calls.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Window size outside 2–200 range is rejected","Null values in numeric fields may affect trailing mean computation","Payment of 0.01 USDC not fulfilled — endpoint returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical views — row ordering and trailing mean — on time series completeness data (observed vs expected points) in a single low-cost call ($0.01 USDC). Ideal for data quality pipelines, monitoring dashboards, or audit workflows where you want to assess completeness trends without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:44.520Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-numeric-row-ordering-trailing-mean-series-ea6195ce"}