{"uid":"cap_EPohv-DBrevpnuO5LAST4","slug":"transaction-fee-observations-record-quality-audit-string-32ec4dee","name":"Transaction Fee Observations — Record Quality Audit + String Normalisation + IQR Outlier Flags","description":"Transaction fee observations — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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-03-203?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},"field":{"enum":["fee_units","transaction_count"],"type":"string","default":"fee_units"}}},"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_fZWtEQaNFdPsNKlresIhK","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 transaction fee observation records: a record quality audit, string normalisation, and IQR-based outlier detection on a chosen numeric field.","exampleAgentPrompt":"Can you run a full data quality audit, string normalisation, and IQR outlier check on my transaction fee records — I have up to 50 rows with fee_units and transaction_count, and I want to flag outliers in the fee_units field?","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"I've got 120 rows of transaction fee observations with instrument_group, date, fee_units, and transaction_count — can you run a quality audit, normalise the string fields, and flag any IQR outliers in fee_units before I start my analysis?"},{"title":"Detecting anomalous transaction counts","prompt":"Can you check my 80 transaction fee records for outliers in the transaction_count field, audit record quality, and normalise any messy strings in the instrument_group column?"},{"title":"Cleaning fee data for reporting","prompt":"I need to clean up these 40 rows of daily fee observations before presenting them — please run a record quality audit, string normalisation, and IQR outlier detection on the fee_units values."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, invalid, or malformed fields; (2) a string normalisation report standardising text fields like instrument_group; (3) an IQR outlier flags report identifying numeric rows in the chosen field (fee_units or transaction_count) that fall outside the interquartile range bounds. All computed locally with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows submitted — exceeds maximum batch size","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) causes validation error","field enum value not one of fee_units or transaction_count","Numeric values outside allowed range (-1e12 to 1e12) rejected","IQR outlier detection may be unreliable with very few rows (fewer than 4)"],"whenToPreferThis":"Choose this endpoint when you need a combined quality-audit, string-normalisation, and IQR-outlier-detection pass on transaction fee observation data in a single call, without requiring any external data lookups or predictions. It is best suited for pre-analysis data cleaning workflows on small-to-medium batches (up to 200 rows) of financial fee records with fee_units and transaction_count fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:54.794Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-record-quality-audit-string-32ec4dee"}