{"uid":"cap_7uPi2fZM3GETgSzj1ZeIR","slug":"transaction-fee-observations-category-frequencies-adjacent-row-changes-7a85599b","name":"Transaction Fee Observations — Category Frequencies + Adjacent Row Changes","description":"Transaction fee observations — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-03-104?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_-9krsScnptgPOCwYEwFzE","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, producing two local analytical reports: category frequency counts and adjacent row change analysis for fee_units or transaction_count.","exampleAgentPrompt":"Analyze my transaction fee data for instrument groups group-a and group-b over October 2026 — I have 4 rows with fee_units values of 10, 20, 15, and 30. Give me the category frequencies by instrument_group and the adjacent row changes in fee_units.","exampleUseCases":[{"title":"Instrument group fee distribution audit","prompt":"I have 50 rows of daily transaction fee records tagged with instrument groups like equities, FX, and derivatives — can you count how frequently each instrument group appears and show me how fee_units change from one row to the next?"},{"title":"Sequential transaction count shift detection","prompt":"Here are 120 rows of transaction fee observations across multiple instrument groups. I want to analyze transaction_count — give me category frequencies by instrument group and the row-to-row changes in transaction_count so I can spot unusual jumps."},{"title":"Fee unit trend review by category","prompt":"I've got a batch of 80 transaction fee records with dates, fee_units, and instrument group labels. Run the category frequency report and adjacent row change analysis on fee_units so I can review the distribution and sequential deltas."}],"resultDescription":"Two analytical reports computed locally on the supplied rows: (1) a category frequency table showing how often each instrument_group value appears, and (2) an adjacent row change report showing the difference in the selected field (fee_units or transaction_count) between consecutive rows, up to 200 rows total.","failureModes":["Rows array is empty or missing — validation error returned","More than 200 rows supplied — request rejected with max items exceeded error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","fee_units or transaction_count outside ±1,000,000,000,000 range — value rejected","field enum value not 'fee_units' or 'transaction_count' — validation error","row_id missing or empty string — required field error","Payment of 0.01 USDC not provided or rejected — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observation data and need both a categorical frequency breakdown by instrument group and a sequential (adjacent row) change analysis on a numeric field — all computed locally without any external lookup or live data dependency. Ideal for offline or batch analytics on fee records when you want two distinct report types in a single cheap call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:11.567Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-category-frequencies-adjacent-row-changes-7a85599b"}