{"uid":"cap_PlGRJDduVMJyqjRMFGsE4","slug":"commercial-proposal-comparisons-record-quality-audit-string-f045431a","name":"Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Commercial proposal comparisons — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied commercial proposal comparisons records (quoted_amount, delivery_days). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-24-194?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_sdPRJSvjDEnVnVFcmxzxg","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 three analytical reports on commercial proposal data: a record quality audit, string normalisation, and grouped numeric summary for quoted_amount or delivery_days fields across up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of these proposal comparison records, normalise the company group strings, and give me a grouped numeric summary of the quoted_amount field? I have 8 rows: row-1 through row-8, spanning 2026-10-01 to 2026-10-08, with company groups 'Acme Corp', 'acme corp', 'Beta Ltd', and 'BETA LTD', and quoted amounts ranging from 1500 to 8400.","exampleUseCases":[{"title":"Supplier bid data quality check","prompt":"I've got 50 rows of supplier bid records — each with a row ID, company group, date, quoted amount, and delivery days. Can you run a record quality audit on them, normalise the company name strings, and give me a grouped numeric summary of the quoted_amount field so I can spot any dirty data before our procurement review?"},{"title":"Delivery days comparison across vendors","prompt":"Here are 120 proposal rows from our last RFQ process with company groups like 'FastShip Inc', 'fastship inc', and 'FastShip INC' — can you audit the record quality, clean up those vendor name strings, and produce a grouped summary of delivery_days by company group?"},{"title":"Pre-review cleanup of bid comparison sheet","prompt":"Before I send this to the finance team, can you check these 30 commercial proposal rows for quality issues, standardise the company group labels, and generate a grouped numeric summary of quoted_amount — I want to make sure the data is clean and the totals make sense per group?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across the submitted rows; (2) a string normalisation report cleaning and standardising the company_group field; and (3) a grouped numeric summary (e.g. count, sum, mean, min, max) of either quoted_amount or delivery_days, aggregated by company_group — all computed locally with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects with a validation error","Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) cause row-level errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 range cause schema rejection","Invalid field selector (not 'quoted_amount' or 'delivery_days') causes enum validation error","Empty rows array (minItems: 1 not met) returns validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality auditing, string normalisation, and grouped numeric summarisation — on commercial proposal or bid comparison data (quoted_amount, delivery_days) in a single low-cost call. It is ideal for pre-review data cleaning pipelines where you want to catch dirty records, standardise vendor names, and produce group-level stats without any external data lookups or predictions. Prefer it over general-purpose analytics tools when your data fits the commercial proposals schema and you want all three reports for $0.01 in one round-trip.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:40:50.657Z","isFirstParty":false,"canonicalSlug":"commercial-proposal-comparisons-record-quality-audit-string-f045431a"}