{"uid":"cap_8Xn_fUvJlT8G4yAqWNDJI","slug":"commercial-proposal-comparisons-daily-sum-series-iqr-outlier-flags-e50ec961","name":"Commercial Proposal Comparisons — Daily Sum Series + IQR Outlier Flags","description":"Commercial proposal comparisons — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags for supplied commercial proposal comparisons records (quoted_amount, delivery_days). 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-24-140?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","quoted_amount","delivery_days"],"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},"delivery_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"quoted_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","delivery_days":1,"quoted_amount":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","delivery_days":2,"quoted_amount":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","delivery_days":3,"quoted_amount":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","delivery_days":4,"quoted_amount":30}],"maxItems":200,"minItems":1},"field":{"enum":["quoted_amount","delivery_days"],"type":"string","default":"quoted_amount"}}},"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_3AG8lLdizmiOynRmpNmwf","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 daily sum time series and IQR-based outlier flags for commercial proposal data (quoted amounts and delivery days) across company groups, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of vendor proposal data with quoted amounts and delivery days across company groups — can you compute the daily sum series and flag IQR outliers for quoted_amount so I can see which days and vendors look anomalous?","exampleUseCases":[{"title":"Procurement bid anomaly detection","prompt":"I've got a dataset of 80 supplier proposals with dates, quoted amounts, and delivery days grouped by vendor — run the daily sum series and IQR outlier detection on quoted_amount so I can spot which bids are way out of range."},{"title":"Delivery timeline outlier review","prompt":"Can you analyze these 120 commercial proposal records and flag any delivery_days values that are IQR outliers, plus give me the daily sum series so I can see how delivery commitments trend over time?"},{"title":"Multi-vendor daily spend comparison","prompt":"I'm comparing proposals from three company groups over Q4 — here are 200 rows with dates and quoted amounts. Run the daily sum aggregation and IQR outlier flags on quoted_amount so I can see which days had unusual total spend."}],"resultDescription":"Two analytical reports: (1) a daily sum time series aggregating the selected field (quoted_amount or delivery_days) by date, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range — all computed locally from the supplied data, no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects with a validation error","Missing required fields (row_id, date, company_group) on any row — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Numeric values outside allowed range (±1 trillion) — schema rejection","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of commercial proposal or procurement data and need both a daily aggregated time series and IQR outlier detection in a single low-cost call. It is ideal for procurement analysts comparing vendor bids, detecting anomalous quotes, or summarizing daily totals by company group — all using only the data you supply, with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:07.315Z","isFirstParty":false,"canonicalSlug":"commercial-proposal-comparisons-daily-sum-series-iqr-outlier-flags-e50ec961"}