{"uid":"cap_73S9tPPL3TnWlSboBhvsi","slug":"trade-observations-data-quality-audit-string-normalisation-adjacent-adfb4f41","name":"Trade Observations Data Quality Audit, String Normalisation & Adjacent Row Changes","description":"Trade observations — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied trade observations records (export_amount, import_amount). 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-economics-06-200?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},"field":{"enum":["export_amount","import_amount"],"type":"string","default":"export_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_WwF1JhMU1ZoLAw7sZ1MmD","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 local analytical reports on trade observation rows: a record quality audit, string normalisation check, and adjacent row change detection for export_amount and import_amount fields.","exampleAgentPrompt":"Can you audit these trade observation records for data quality issues, string normalisation problems, and adjacent row changes? I have 4 rows with region, date, export_amount, and import_amount — focus the field analysis on export_amount.","exampleUseCases":[{"title":"Pre-analysis trade data validation","prompt":"I've got a batch of up to 50 trade observation rows with region, date, export_amount, and import_amount. Can you run a full quality audit, check the strings for normalisation issues, and flag any consecutive row changes — focus on export_amount?"},{"title":"Detecting suspicious jumps in import figures","prompt":"I need to check my import_amount data for adjacent row changes across these 80 trade records — also run the record quality audit and string normalisation reports at the same time so I get everything in one go."},{"title":"Cleaning regional trade dataset before reporting","prompt":"Before I publish this quarterly trade dataset, can you audit the record quality, normalise the region name strings, and check for unexpected changes between adjacent rows? There are about 120 rows and I want to focus on import_amount."}],"resultDescription":"Returns three independent analytical reports for the submitted trade observation rows: (1) a record quality audit flagging missing, null, or out-of-range values in export_amount and import_amount; (2) a string normalisation report identifying inconsistent or non-standard region and date string formatting; (3) an adjacent row changes report showing value differences between consecutive rows for the selected field (export_amount or import_amount). All analysis is performed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — returns validation error","More than 200 rows submitted — request rejected, exceeds limit","row_id missing or empty — schema validation failure","date field does not match YYYY-MM-DD pattern — validation error","export_amount or import_amount outside ±1,000,000,000,000 — rejected","field enum value not one of export_amount or import_amount — schema error","Payment not received or insufficient USDC — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need three complementary data quality reports (audit, string normalisation, and adjacent row change detection) on trade observation data in a single call at low cost. It is ideal for pre-processing pipelines where export_amount and import_amount data needs validation before downstream analysis. Prefer it over general-purpose data tools when the dataset is structured as regional trade observations with dates, and you want local analytical results without any external API calls or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:15:51.671Z","isFirstParty":false,"canonicalSlug":"trade-observations-data-quality-audit-string-normalisation-adjacent-adfb4f41"}