{"uid":"cap_AE1hMxq5j4_W4dOoQq32q","slug":"transaction-fee-observations-duplicate-key-report-grouped-numeric-6c7667f8","name":"Transaction Fee Observations — Duplicate Key Report + Grouped Numeric Summary","description":"Transaction fee observations — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary 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-03-056?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_lq3BMqAnyGmJYYWc1tOQw","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 rows to produce two reports: a duplicate key report and a grouped numeric summary for fee_units or transaction_count.","exampleAgentPrompt":"Check my transaction fee observations for duplicate row IDs and give me a grouped numeric summary of fee_units — here are the records: row-1, group-a, 2026-10-01, fee_units=10, transaction_count=1; row-2, group-b, 2026-10-02, fee_units=20, transaction_count=2; row-3, group-a, 2026-10-03, fee_units=15, transaction_count=3; row-4, group-b, 2026-10-04, fee_units=30, transaction_count=4.","exampleUseCases":[{"title":"Audit fee data for duplicate keys","prompt":"I have 50 transaction fee records with row IDs, instrument groups, dates, fee_units, and transaction counts — can you run a duplicate key report on them and also give me a grouped numeric summary of fee_units by instrument group?"},{"title":"Summarize transaction counts by instrument group","prompt":"Here are 120 rows of transaction fee observations. I want to know if there are any duplicate row IDs and also get a grouped summary of the transaction_count field broken down by instrument_group."},{"title":"Validate and summarize fee dataset before reporting","prompt":"Before I finalize my fee report, can you check these 80 transaction fee observation rows for duplicate keys and summarize the fee_units values grouped by instrument group so I can spot any anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any rows sharing the same key fields, and (2) a grouped numeric summary of the selected numeric field (fee_units or transaction_count) aggregated by instrument_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range cause validation errors","Empty rows array (minItems: 1 not met) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transaction fee observation rows and need both a duplicate key audit and a grouped numeric summary in a single call. It is ideal for pre-reporting data quality checks on fee datasets segmented by instrument group, where no live data, predictions, or external lookups are needed — just fast local analytical processing of supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:32.589Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-duplicate-key-report-grouped-numeric-6c7667f8"}