{"uid":"cap_8rGdIpTCCD3FB7QkAEock","slug":"commercial-proposal-comparisons-record-quality-audit-missing-value-fill-684298a4","name":"Commercial Proposal Comparisons — Record Quality Audit & Missing-Value Fill","description":"Commercial proposal comparisons — Record quality audit + Explicit missing-value fill: Record quality audit + 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-24-019?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_m0s5_eVZaRQ4bKYhqo94r","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":"Audits data quality and fills missing values (using zero, mean, or median) in commercial proposal comparison records containing quoted amounts and delivery days — up to 200 rows, two independent reports per call.","exampleAgentPrompt":"Can you audit my commercial proposal comparison records for data quality issues and fill any missing quoted_amount values using median imputation? I have 4 rows: row-1 group-a 2026-10-01 quoted_amount=10 delivery_days=1, row-2 group-b 2026-10-02 quoted_amount=null delivery_days=2, row-3 group-a 2026-10-03 quoted_amount=15 delivery_days=null, row-4 group-b 2026-10-04 quoted_amount=30 delivery_days=4.","exampleUseCases":[{"title":"Supplier bid data cleanup before analysis","prompt":"I have 50 rows of vendor bid comparison data with some missing quoted_amount entries — can you run a quality audit and fill those missing values using the median of the available amounts? The records include row IDs, company groups, dates, quoted amounts, and delivery days."},{"title":"Delivery days gap fill for procurement report","prompt":"Before I finalize our procurement comparison report, can you check these 120 proposal records for quality issues and fill any missing delivery_days values using the mean of the existing ones? I'll give you the rows with row IDs, company groups, dates, and both numeric fields."},{"title":"Zero-fill missing quotes for budget baseline","prompt":"I need a quick quality audit of 30 commercial proposal comparison rows and want any null quoted_amount fields replaced with zero so I can build a budget baseline — can you generate those two reports for me?"}],"resultDescription":"Two independent analytical reports per call: (1) a record quality audit flagging issues such as nulls, out-of-range values, and anomalies across the quoted_amount and delivery_days fields; (2) an explicit missing-value fill report showing each row where values were imputed using the chosen method (zero, mean, or median), with before/after values. No external lookups or predictions are made — all analysis is local.","failureModes":["Rows array empty or exceeds 200 items — validation error returned","Invalid date format (not YYYY-MM-DD) causes row rejection","Unsupported method enum value causes schema validation failure","All values present with no nulls — fill report will show no changes","Numeric values outside ±1,000,000,000,000 range rejected","Missing required fields (row_id, company_group, date) cause row-level errors"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, local (no external lookup), low-cost ($0.01 USDC) dual-report solution for auditing and imputing missing values specifically in commercial proposal comparison datasets (quoted_amount, delivery_days) of up to 200 rows. Prefer this over general data-cleaning tools when you want a single call that delivers both a quality audit and an explicit missing-value fill report together, without any ML prediction or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:44.974Z","isFirstParty":false,"canonicalSlug":"commercial-proposal-comparisons-record-quality-audit-missing-value-fill-684298a4"}