{"uid":"cap_sE-ShQ44wd4pAv7-IeJRq","slug":"commercial-proposal-comparisons-numeric-distribution-explicit-missing-32ea5a24","name":"Commercial Proposal Comparisons — Numeric Distribution + Explicit Missing-Value Fill","description":"Commercial proposal comparisons — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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-24-085?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_LqsYPWEa6mbrWU2D_54rK","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 numeric distribution statistics and fills missing values for commercial proposal data (quoted_amount, delivery_days) across up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"I have 12 rows of vendor proposal data with company groups, quoted amounts, and delivery days — some delivery_days values are missing. Can you run a numeric distribution analysis and fill the missing delivery_days using the median, for up to 200 rows?","exampleUseCases":[{"title":"Procurement bid distribution analysis","prompt":"I've collected quotes from three supplier groups — can you analyze the numeric distribution of quoted_amount across these 50 proposal rows and fill any missing values using the mean?"},{"title":"Delivery time gap imputation","prompt":"My vendor comparison spreadsheet has 80 rows but about 15 of the delivery_days entries are blank. Fill those missing delivery_days using the median and give me the distribution stats so I can see the spread."},{"title":"RFP response statistical summary","prompt":"Here are 120 rows from our RFP responses across two company groups. Run a distribution report on quoted_amount and use zero to fill any missing values so I can see the full numeric picture."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, median, percentiles) for the selected field across the supplied rows, and (2) an explicit missing-value fill report showing how null/missing values in the target field (quoted_amount or delivery_days) were replaced using the chosen method (zero, mean, or median).","failureModes":["Rows array is empty or exceeds 200 items — validation error returned","Invalid fill method supplied outside zero/mean/median enum — rejected","Invalid field name outside quoted_amount/delivery_days enum — rejected","Date strings not matching YYYY-MM-DD pattern — schema validation failure","row_id missing or empty — required field error","All values in target field are null — mean/median fill may return zero or error"],"whenToPreferThis":"Choose this endpoint when you have structured commercial proposal or procurement comparison data (up to 200 rows) with quoted_amount and delivery_days fields, and you need both a numeric distribution summary and explicit imputation of missing numeric values in a single call for $0.01 USDC. It is ideal for offline batch analysis of vendor bids where no live data lookup, prediction, or external action is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:30.253Z","isFirstParty":false,"canonicalSlug":"commercial-proposal-comparisons-numeric-distribution-explicit-missing-32ea5a24"}