{"uid":"cap_cNz_uDd0OmIep-yA37QwE","slug":"company-record-completeness-trailing-mean-series-iqr-outlier-flags-015630b0","name":"Company Record Completeness — Trailing Mean Series + IQR Outlier Flags","description":"Company record completeness — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied company record completeness records (populated_fields, required_fields). 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-company-01-149?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","populated_fields","required_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"required_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","required_fields":1,"populated_fields":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","required_fields":2,"populated_fields":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","required_fields":3,"populated_fields":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","required_fields":4,"populated_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_fields","required_fields"],"type":"string","default":"populated_fields"},"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_oM42gQ3TJXa3tvc9ngEW5","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 moving averages and IQR-based outlier flags for company record completeness metrics (populated_fields or required_fields) across up to 200 supplied rows, producing two independent analytical reports.","exampleAgentPrompt":"Analyze these 150 company completeness records and give me a trailing mean series with a window of 5 plus IQR outlier flags for the populated_fields column — I want to spot which rows are anomalous.","exampleUseCases":[{"title":"Data quality audit across business units","prompt":"I have 120 rows of completeness data across our company groups — can you run a trailing mean with window 7 and flag any IQR outliers in the populated_fields so I can see which groups are consistently underperforming?"},{"title":"Monitoring required fields completeness drift","prompt":"Here are 80 records tracking required_fields completeness over the last quarter. Run a trailing mean series with window size 4 and flag IQR outliers so I can catch any sudden drops in data quality."},{"title":"Pre-migration data readiness check","prompt":"Before we migrate, I need to know which of these 200 company records are statistical outliers in terms of populated_fields completeness — use a window of 10 for the trailing mean and apply IQR outlier flags."}],"resultDescription":"Two independent analytical reports covering: (1) a trailing moving average series computed over the specified window for the chosen field, and (2) IQR-based outlier flags marking which rows fall outside the interquartile range — both derived purely from the supplied input rows with no external data lookup.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Window size smaller than 2 or larger than number of rows — may yield degenerate results","Invalid date format (non YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, company_group, date, populated_fields, required_fields) — validation error","Null numeric values may affect mean and IQR calculations"],"whenToPreferThis":"Choose this endpoint when you have pre-collected company record completeness data (populated_fields or required_fields) and need both a rolling mean trend and IQR outlier detection in a single call. It is ideal for offline/batch data quality analysis where no live lookup or external data enrichment is needed. Prefer this over generic stats tools when you want two bundled reports (trailing mean + IQR flags) at low cost for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:08.644Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-trailing-mean-series-iqr-outlier-flags-015630b0"}