{"uid":"cap_IyYY1Srn3luMkqZLmFC11","slug":"transaction-fee-observations-duplicate-key-report-category-frequencies-a69128e1","name":"Transaction Fee Observations — Duplicate Key Report + Category Frequencies","description":"Transaction fee observations — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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-03-057?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_1xYAOmmGqjofw9BrNh4nf","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 two local analytical reports: a duplicate key report and category frequency distribution.","exampleAgentPrompt":"Can you check these transaction fee records for duplicate row IDs and also give me a frequency count of how often each instrument group appears? I have about 50 rows with fields like row_id, instrument_group, date, fee_units, and transaction_count.","exampleUseCases":[{"title":"Duplicate key audit for fee data","prompt":"I've got a batch of transaction fee observations and I want to know if any row IDs are repeated — can you run a duplicate key check on these records and tell me which row_ids appear more than once?"},{"title":"Instrument group frequency breakdown","prompt":"Here are 120 transaction fee observation rows with instrument_group labels like 'equities', 'derivatives', and 'fx' — can you tell me how frequently each category appears across the dataset?"},{"title":"Data quality check before fee report","prompt":"Before I submit this fee dataset for our monthly report, can you check it for duplicate keys and give me a category frequency summary by instrument group? I have around 80 rows with fee_units and transaction_count."}],"resultDescription":"Two independent analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once in the submitted data, and (2) a category frequency table showing how often each distinct instrument_group value appears across the submitted rows. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Submitting fewer than 1 row or more than 200 rows returns a validation error","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) causes row rejection","Malformed date strings not matching YYYY-MM-DD pattern may cause parsing errors","Numeric values outside the allowed range (-1e12 to 1e12) will fail schema validation","Insufficient USDC balance (less than 0.01) will block the request"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transaction fee observation records and need both a duplicate key audit and an instrument group frequency summary in a single low-cost call. It is ideal for data quality checks before downstream processing, avoiding external API lookups since all computation is local. Prefer it over general-purpose data tools when you need these two specific reports on fee_units and transaction_count structured data at minimal cost ($0.01 USDC for both).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T00:35:37.019Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-duplicate-key-report-category-frequencies-a69128e1"}