{"uid":"cap_BDT2OcfM3PNN1YZVW-b2W","slug":"transaction-fee-observations-duplicate-key-report-numeric-interval-479c6406","name":"Transaction Fee Observations — Duplicate Key Report + Numeric Interval Filter","description":"Transaction fee observations — Duplicate key report + Numeric interval filter: Duplicate key report + Numeric interval filter for supplied transaction fee observations records (fee_units, transaction_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-finance-03-059?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_4924VLixwJp-ACiweFEE0","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":"Analyzes up to 200 transaction fee observation records to produce a duplicate key report and a numeric interval filter report for fee_units or transaction_count fields.","exampleAgentPrompt":"Check my transaction fee dataset for duplicate row IDs and also filter to only show fee_units records between 5 and 50 — here are my rows: row-1 on 2026-10-01 with fee_units=10, transaction_count=1 for group-a; row-2 on 2026-10-02 with fee_units=20, transaction_count=2 for group-b; row-1 on 2026-10-03 with fee_units=15, transaction_count=3 for group-a.","exampleUseCases":[{"title":"Duplicate row audit for fee data","prompt":"I have a batch of transaction fee records and I need to know if any row IDs are duplicated — can you run a duplicate key report on these 50 rows with fee_units and transaction_count fields?"},{"title":"Filter fee records by numeric range","prompt":"From my transaction fee observations, show me only the rows where transaction_count is between 10 and 500 — I want to filter out the outliers using a numeric interval report."},{"title":"Pre-pipeline data quality check","prompt":"Before I load these 120 transaction fee observation rows into our pipeline, can you run both a duplicate key check on the row IDs and filter fee_units to only values between 0 and 100 so I can catch any bad data?"}],"resultDescription":"Returns two analytical reports: (1) a duplicate key report identifying rows with repeated row_id values within the submitted dataset, and (2) a numeric interval filter report listing rows where the selected field (fee_units or transaction_count) falls within the specified minimum and maximum bounds. Up to 200 rows processed per call.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, fee_units, transaction_count) in one or more rows — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Minimum value greater than maximum value causing empty interval filter result","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you have a local batch of transaction fee observation records (up to 200 rows) and need both a duplicate key check and a numeric range filter in a single low-cost call. It is purely analytical with no external lookups, making it ideal for pre-processing pipelines, data quality audits before ingestion, or validating exported fee datasets. Prefer it over general-purpose data tools when you specifically need the duplicate-key and numeric-interval combination on finance fee data without sending data to a heavy analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:01.101Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-duplicate-key-report-numeric-interval-479c6406"}