{"uid":"cap_7ubTHtn6EuM9UhOAIIOFl","slug":"time-series-completeness-iqr-outlier-flags-secondary-measure-weighted-661e950d","name":"Time Series Completeness — IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Time series completeness — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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-16-177?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"}}},"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_VbNsCYajf9Y8w-u3Psup9","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":"Analyzes time series completeness records (observed vs expected data points) using IQR-based outlier detection and secondary-measure weighted mean, delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"Run IQR outlier detection and secondary-measure weighted mean on my completeness records — I have 5 rows: 2024-01-01 row-1 group-a observed=95 expected=100, 2024-01-02 row-2 group-a observed=20 expected=100, 2024-01-03 row-3 group-b observed=98 expected=100, 2024-01-04 row-4 group-b observed=97 expected=100, 2024-01-05 row-5 group-a observed=5 expected=100 — use observed_points as the primary field.","exampleUseCases":[{"title":"Daily pipeline completeness audit","prompt":"I have daily records of how many data points my ETL pipeline collected vs how many were expected — can you run IQR outlier flagging and weighted mean analysis on these 30 rows to find the suspicious days? Rows: 2024-03-01 row-1 pipeline-a observed=980 expected=1000, 2024-03-02 row-2 pipeline-a observed=995 expected=1000, 2024-03-03 row-3 pipeline-a observed=50 expected=1000 ... use observed_points as the field."},{"title":"Multi-group sensor gap detection","prompt":"We have two sensor groups collecting readings every hour. I want to flag which dates had abnormal completeness using IQR outlier analysis and also get the weighted mean for expected_points — here are my 10 rows across group-east and group-west for the past two weeks."},{"title":"Data quality report for SLA compliance","prompt":"Can you analyze these 50 completeness records from our data warehouse ingestion jobs and flag any outlier days using IQR, plus compute the weighted mean on observed_points? I need to know which rows are statistically anomalous before I send the SLA report."}],"resultDescription":"Returns two analytical reports: (1) IQR outlier flags for each row indicating whether the specified field (observed_points or expected_points) is a statistical outlier based on interquartile range, and (2) a secondary-measure weighted mean computed across the supplied rows. Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","Date values not matching YYYY-MM-DD pattern are rejected","All null values for the selected field prevent IQR computation","Single-row input may produce degenerate statistics","Non-numeric observed_points or expected_points cause type errors"],"whenToPreferThis":"Choose this endpoint when you need to statistically identify outlier dates or rows in a time series completeness dataset using IQR methodology alongside a weighted mean, without any external data lookup or live prediction. Ideal for data quality pipelines, SLA reporting, or ETL monitoring where you have up to 200 completeness records (observed vs expected counts) and want two complementary statistical views in a single paid call at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:16.983Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-iqr-outlier-flags-secondary-measure-weighted-661e950d"}