{"uid":"cap_-7o-6_kLRLvglcrR_gvof","slug":"trade-observations-record-quality-audit-string-normalisation-base-100-f1c8d412","name":"Trade Observations — Record Quality Audit + String Normalisation + Base-100 Series","description":"Trade observations — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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-06-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_vdKLpe3RXtD5Lb1NqkO98","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 (record quality audit, string normalisation, and base-100 index series) on supplied trade observation rows containing export and import amounts.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and base-100 index series on this set of trade observations — use export_amount as the target field, set the base index to row 0, and here are up to 200 rows with row_id, region, date, export_amount, and import_amount?","exampleUseCases":[{"title":"Pre-analysis trade data quality check","prompt":"I've got a dataset of 150 trade observation rows with export and import amounts by region and date — can you audit their record quality, normalise any messy region strings, and build a base-100 index series on the export_amount field starting from row 0?"},{"title":"Indexing import volumes to a base period","prompt":"Take these 80 rows of monthly import observations and generate a base-100 series on the import_amount field, using row 3 as the base, plus run the standard record quality audit and string normalisation reports."},{"title":"Cleaning trade data before dashboard ingestion","prompt":"Before I load this trade dataset into our dashboard, can you check data quality, normalise all the region and date strings, and also produce a base-100 series on export_amount anchored at row 0? Here are 60 rows."}],"resultDescription":"Returns three reports derived entirely from the supplied rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report showing cleaned/standardised versions of text fields like region and date; and (3) a base-100 index series for the chosen numeric field (export_amount or import_amount) anchored at the specified base row index. No external data is fetched.","failureModes":["Rows array empty or missing — validation error","More than 200 rows submitted — rejected with maxItems error","base_index out of range for supplied row count — error","Invalid date format in rows (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 — rejected by schema","Missing required fields (row_id, region, date, export_amount, import_amount) in any row — validation error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need three complementary analytical reports — quality audit, string normalisation, and base-100 indexing — run together on a single batch of up to 200 trade observation rows (export/import amounts) in one low-cost call. It is ideal for pre-processing trade datasets before visualisation or modelling, and for users who want purely local, offline-style analysis without any live lookups, predictions, or external API calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:35.745Z","isFirstParty":false,"canonicalSlug":"trade-observations-record-quality-audit-string-normalisation-base-100-f1c8d412"}