{"uid":"cap_0n14vjX-0ZeTKvUC0GR7H","slug":"transaction-fee-observations-record-quality-audit-string-e0a796bd","name":"Transaction Fee Observations — Record Quality Audit, String Normalisation & Exact Row Deduplication","description":"Transaction fee observations — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied transaction fee observations records (fee_units, transaction_count). 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-finance-03-191?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","fee_units","transaction_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"fee_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"transaction_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","fee_units":10,"instrument_group":"group-a","transaction_count":1},{"date":"2026-10-02","row_id":"row-2","fee_units":20,"instrument_group":"group-b","transaction_count":2},{"date":"2026-10-03","row_id":"row-3","fee_units":15,"instrument_group":"group-a","transaction_count":3},{"date":"2026-10-04","row_id":"row-4","fee_units":30,"instrument_group":"group-b","transaction_count":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_N40BvRQy6P99Rh3nAtq3P","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 up to 200 transaction fee observation rows: record quality audit, string normalisation, and exact row deduplication.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and exact deduplication check on these transaction fee records — I have rows with fields like instrument_group, date, fee_units, and transaction_count, about 50 rows total, and I want all three reports back.","exampleUseCases":[{"title":"Pre-pipeline fee data cleanup","prompt":"I'm about to load this batch of transaction fee observations into our data warehouse — can you first run a quality audit, string normalisation, and deduplication check on these 120 rows (each has a row_id, instrument_group like 'equities' or 'fx', date, fee_units, and transaction_count) so I can catch any issues before ingestion?"},{"title":"Reconciliation audit for finance team","prompt":"Our finance team exported 80 rows of transaction fee data from two different systems and suspects there are duplicates and inconsistent group labels — can you run all three reports: record quality audit, string normalisation, and exact row deduplication on these rows?"},{"title":"Monthly fee report data validation","prompt":"Before I finalise the monthly transaction fee report, please check these 200 fee observation rows for quality issues, normalise the instrument_group strings, and flag any exact duplicate rows — fields include date, fee_units, transaction_count, and instrument_group."}],"resultDescription":"Returns three independent analytical reports for the submitted transaction fee observation rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report standardising text fields such as instrument_group; (3) an exact row deduplication report identifying identical rows. All processing is performed locally with no external lookups or live data.","failureModes":["Submission of more than 200 rows will be rejected (maxItems constraint)","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) will cause validation errors","Invalid date format (non-YYYY-MM-DD) will fail pattern validation","Numeric values outside ±1,000,000,000,000 will be rejected","Empty rows array (minItems: 1) will be rejected"],"whenToPreferThis":"Choose this endpoint when you need all three of: record quality auditing, string field normalisation, and exact duplicate detection on transaction fee observation data (fee_units, transaction_count) in a single API call at low cost ($0.01 USDC for up to 200 rows). It is ideal for batch pre-processing before loading into a data warehouse or reporting pipeline. Prefer it over general-purpose data quality tools when your data specifically contains instrument_group, fee_units, and transaction_count fields and you want bundled, local analytical reports with no external data calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:52:31.878Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-record-quality-audit-string-e0a796bd"}