{"uid":"cap_Z8QA6Qz6y2t8ix0u26gwG","slug":"contract-renewal-inventories-iqr-outlier-flags-date-by-category-pivot-cb32b99c","name":"Contract Renewal Inventories — IQR Outlier Flags + Date by Category Pivot","description":"Contract renewal inventories — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied contract renewal inventories records (expiring_contracts, renewed_contracts). 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-20-178?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","expiring_contracts","renewed_contracts"],"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},"renewed_contracts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"expiring_contracts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","renewed_contracts":1,"expiring_contracts":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","renewed_contracts":2,"expiring_contracts":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","renewed_contracts":3,"expiring_contracts":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","renewed_contracts":4,"expiring_contracts":30}],"maxItems":200,"minItems":1},"field":{"enum":["expiring_contracts","renewed_contracts"],"type":"string","default":"expiring_contracts"}}},"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_oCj7R6SXyHgA5qO2XAK60","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 local analytical reports on supplied contract renewal data: IQR-based outlier detection and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"Run IQR outlier detection and a date-by-category pivot on my contract renewal data — I have records for group-a and group-b spanning October 2026, each row with expiring_contracts and renewed_contracts counts, and I want to flag statistical anomalies in the expiring_contracts field.","exampleUseCases":[{"title":"Flag outlier expiring contract volumes","prompt":"I have 50 rows of contract renewal records by company group and date — can you run IQR outlier detection on the expiring_contracts field and tell me which rows are statistical anomalies?"},{"title":"Pivot renewals by date and business unit","prompt":"Take my contract renewal inventory data for groups alpha, beta, and gamma across Q4 2026 and give me a date-by-category pivot showing renewed_contracts — I want to see how each group trends over time."},{"title":"Audit renewal data for data quality issues","prompt":"I need to audit my contract renewal dataset for suspicious values — run both the IQR outlier flags and the date-by-category pivot on my expiring_contracts and renewed_contracts columns so I can spot anything that looks off before our end-of-quarter review."}],"resultDescription":"Two independent analytical reports: (1) IQR outlier flags identifying which rows have statistically extreme values for the selected field (expiring_contracts or renewed_contracts) using interquartile range method, and (2) a pivot table cross-tabulating values by date and company_group category. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","date field does not match YYYY-MM-DD pattern — schema validation failure","required fields (row_id, company_group, date, expiring_contracts, renewed_contracts) missing — rejection","numeric values outside allowed range (±1,000,000,000,000) — schema error","invalid field enum value (not expiring_contracts or renewed_contracts) — rejection","payment not included or insufficient USDC — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of contract renewal inventory data and need both IQR-based statistical outlier detection and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for batch analytical passes on historical or snapshot data where no live lookup, prediction, or external data enrichment is needed — purely local computation on supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:59.618Z","isFirstParty":false,"canonicalSlug":"contract-renewal-inventories-iqr-outlier-flags-date-by-category-pivot-cb32b99c"}