{"uid":"cap_8H42Ln3zsGsrr1iVSgo91","slug":"schema-conformity-iqr-outlier-flags-secondary-measure-weighted-mean-d2ef12ea","name":"Schema Conformity — IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Schema conformity — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied schema conformity records (valid_records, checked_records). 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-02-177?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"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},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"}}},"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_dIVFfzR8RjuAHa5157bVn","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":"Runs two statistical analyses on schema conformity records (valid_records, checked_records): IQR-based outlier flagging and a secondary-measure weighted mean, for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier detection and a secondary-measure weighted mean on my schema conformity data? I have rows with valid_records and checked_records across dataset groups — here are up to 200 rows and I want to analyze the valid_records field.","exampleUseCases":[{"title":"Outlier detection in daily validation runs","prompt":"I have 90 days of schema conformity logs with valid_records and checked_records per dataset group — can you flag any IQR outliers and give me the weighted mean for valid_records across all those rows?"},{"title":"Data quality audit across pipeline groups","prompt":"We run schema checks across three dataset groups every week. Can you take these 150 rows of valid_records and checked_records and produce both an IQR outlier report and a weighted mean so I can spot which groups are underperforming?"},{"title":"Spot anomalous record counts before a data release","prompt":"Before we publish next quarter's dataset, run IQR outlier flagging and the secondary-measure weighted mean on these schema conformity records — I want to check valid_records for anything statistically suspicious across our groups."}],"resultDescription":"Returns two analytical reports: (1) IQR-based outlier flags indicating which rows contain statistically anomalous values for the selected field (valid_records or checked_records), and (2) a secondary-measure weighted mean computed across the supplied rows. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, valid_records, checked_records) — validation error","Invalid date format (must match YYYY-MM-DD) — schema error","All values null for selected field — unable to compute statistics","Malformed JSON body — parse error"],"whenToPreferThis":"Choose this endpoint when you need simultaneous IQR outlier detection and a weighted mean on schema conformity records (valid_records / checked_records) for up to 200 rows in a single low-cost call. Ideal for data quality pipelines, validation audits, and batch statistical summaries where no external data enrichment or live prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:02.573Z","isFirstParty":false,"canonicalSlug":"schema-conformity-iqr-outlier-flags-secondary-measure-weighted-mean-d2ef12ea"}