{"uid":"cap_dw_BsfCDh5CkVwnnmfrvF","slug":"trade-observations-record-quality-audit-and-string-normalisation-2052b559","name":"Trade Observations Record Quality Audit and String Normalisation","description":"Trade observations — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied trade observations records (export_amount, import_amount). 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-economics-06-001?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","export_amount","import_amount"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"export_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"import_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","export_amount":10,"import_amount":1},{"date":"2026-10-02","region":"group-b","row_id":"row-2","export_amount":20,"import_amount":2},{"date":"2026-10-03","region":"group-a","row_id":"row-3","export_amount":15,"import_amount":3},{"date":"2026-10-04","region":"group-b","row_id":"row-4","export_amount":30,"import_amount":4}],"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_rIAPjJ9PLNs0JO1H5W2jO","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 trade observation records (export_amount, import_amount) for data quality issues and normalises strings, producing two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my trade observations dataset? I have rows with row_id, region, date, export_amount, and import_amount fields — here are my records — and I need both reports back.","exampleUseCases":[{"title":"Pre-pipeline trade data validation","prompt":"Before I load this batch of trade records into our data warehouse, can you audit them for quality issues and normalise the string fields? I have about 50 rows with region, date, export_amount, and import_amount columns."},{"title":"Detecting bad values in export import figures","prompt":"I've got a trade observations dataset with 120 rows and I'm seeing some weird numbers in the export_amount and import_amount columns. Can you run a record quality audit on them and also normalise the region strings?"},{"title":"Monthly trade data QA before reporting","prompt":"We generate a monthly trade report and I need to quality-check this month's 80 observation rows — covering region, date, export_amount, and import_amount — before we publish. Can you audit the records and normalise any inconsistent strings?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, malformed dates, and inconsistencies in the trade observation fields; and (2) a string normalisation report showing how region and other string fields have been standardised. Both reports cover up to 200 input rows and are computed locally without any external lookups.","failureModes":["Payload exceeds 200 rows — endpoint rejects with validation error","Missing required fields (row_id, region, date, export_amount, import_amount) cause row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern may trigger schema validation failure","Numeric values outside ±1,000,000,000,000 range are rejected by schema","Empty rows array (minItems:1 violated) returns error","Payment of 0.01 USDC not provided or x402 protocol failure blocks request"],"whenToPreferThis":"Choose this endpoint when you need simultaneous record quality auditing and string normalisation specifically for trade observation data containing export_amount and import_amount fields, and you want two separate reports in a single low-cost call. It is best suited for batch sizes up to 200 rows where no live lookup, prediction, or external data enrichment is needed — purely local analytical processing of supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:35.428Z","isFirstParty":false,"canonicalSlug":"trade-observations-record-quality-audit-and-string-normalisation-2052b559"}