{"uid":"cap_RauMmUabiR9zUz2zLRVJa","slug":"transaction-fee-observations-record-quality-audit-string-e3e851f2","name":"Transaction Fee Observations — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Transaction fee observations — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-03-193?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_bS1gygSm3K-a5YZqGB_0h","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 (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of transaction fee observation data containing fee_units and transaction_count fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric distribution analysis on my transaction fee observations? Here are up to 200 rows with fields row_id, instrument_group, date, fee_units, and transaction_count — focus the numeric analysis on the fee_units field.","exampleUseCases":[{"title":"Pre-ingestion data quality check","prompt":"Before I load these transaction fee records into our data warehouse, can you run a full quality audit and string normalisation check on these 150 rows of fee observations — each row has a row_id, instrument_group, date, fee_units, and transaction_count — so I can catch any issues first?"},{"title":"Fee distribution analysis by instrument group","prompt":"I have 80 rows of transaction fee observations broken down by instrument group and date. Can you give me a numeric distribution report on the transaction_count field so I can see how fees are spread across the dataset?"},{"title":"Data cleanliness review for finance reporting","prompt":"I need to audit these 200 transaction fee records for data quality issues and check that all the string fields like instrument_group are properly normalised before we send them to the finance team — can you run all three reports on the fee_units field?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit detailing completeness, missing values, and structural issues across all rows; (2) a string normalisation report covering the instrument_group and other string fields; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles) for the selected numeric field (fee_units or transaction_count). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Rows array is empty or missing — minimum 1 row required","More than 200 rows submitted — exceeds maximum batch size","Invalid date format in any row — must match YYYY-MM-DD pattern","row_id missing or blank — required per row","Numeric fields (fee_units, transaction_count) out of allowed range (±1,000,000,000,000)","Invalid field selector — must be either 'fee_units' or 'transaction_count'","Payment not included or incorrect — $0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you have a batch of transaction fee observation records (up to 200 rows) and need three simultaneous data quality reports — quality audit, string normalisation, and numeric distribution — in a single low-cost call. Prefer this over general-purpose data tools when your data specifically contains fee_units and transaction_count fields with instrument_group categorisation. It is ideal for pre-ingestion validation, finance data pipeline checks, or quick profiling of fee datasets without requiring any external data sources or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T13:06:51.494Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-record-quality-audit-string-e3e851f2"}