{"uid":"cap_thpxevBdXpeuk9oH2QscQ","slug":"commercial-proposal-comparisons-record-quality-audit-string-6c7993f8","name":"Commercial Proposal Comparisons — Record Quality Audit, String Normalisation & Exact Row Deduplication","description":"Commercial proposal comparisons — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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-24-191?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}}},"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_zUKWZTsxK5Od18M2oH_bD","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, normalises, and deduplicates up to 200 commercial proposal comparison records (quoted_amount, delivery_days), returning 3 independent analytical reports.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and exact row deduplication on these commercial proposal records I have — there are about 50 rows each with a row_id, company_group, date, quoted_amount, and delivery_days, and I want to get the 3 reports back?","exampleUseCases":[{"title":"Procurement team deduplicating vendor quotes","prompt":"I have 120 vendor proposal rows with company_group, quoted_amount, and delivery_days fields — can you run an exact deduplication check and string normalisation on them so I can clean up the dataset before presenting to the board?"},{"title":"Analyst auditing proposal data quality","prompt":"Please audit the data quality of these 80 commercial proposal comparison records I've uploaded — I need to know which rows have missing or malformed quoted_amount or delivery_days values, and get a full quality report."},{"title":"Automated pipeline cleaning sourced RFP responses","prompt":"We just pulled 200 RFP responses into a dataset with row_id, company_group, date, quoted_amount, and delivery_days — run the record quality audit, string normalisation, and exact deduplication on all of them and give me the three reports."}],"resultDescription":"Three independent reports: (1) a record quality audit flagging missing, malformed, or out-of-range values in quoted_amount and delivery_days; (2) a string normalisation report showing how text fields like company_group were standardised; and (3) an exact row deduplication report identifying and removing fully duplicate rows across up to 200 input records.","failureModes":["Input array exceeds 200 rows — request rejected","Rows missing required fields (row_id, date, company_group) — validation error returned","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric fields outside allowed range (±1 trillion) — rejected","Empty rows array (minItems:1 not satisfied) — error response","Payment of 0.01 USDC not completed — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, normalise string fields, and deduplicate exact duplicate rows in commercial proposal comparison data (quoted_amount, delivery_days) in a single call. It is purpose-built for procurement and vendor comparison datasets of up to 200 rows and returns three distinct reports for $0.01 USDC. Prefer it over general-purpose data tools when your data is structured around proposal comparisons and you want all three cleaning reports in one low-cost batch operation without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:19.874Z","isFirstParty":false,"canonicalSlug":"commercial-proposal-comparisons-record-quality-audit-string-6c7993f8"}