{"uid":"cap_mtfdvsOHyw6fUNv6UeIse","slug":"transaction-fee-observations-numeric-row-ordering-two-measure-302d0e58","name":"Transaction Fee Observations — Numeric Row Ordering + Two-Measure Correlation","description":"Transaction fee observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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-03-120?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_OCNVovvnz1H-pd3zLHlRg","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":"Ranks transaction fee observation rows numerically and computes correlation between fee_units and transaction_count for up to 200 supplied records.","exampleAgentPrompt":"I have 4 rows of transaction fee observations — row-1 (2026-10-01, group-a, fee_units=10, transaction_count=1), row-2 (2026-10-02, group-b, fee_units=20, transaction_count=2), row-3 (2026-10-03, group-a, fee_units=15, transaction_count=3), row-4 (2026-10-04, group-b, fee_units=30, transaction_count=4) — can you rank these rows numerically by fee_units and also compute the correlation between fee_units and transaction_count?","exampleUseCases":[{"title":"Fee-volume relationship in trading data","prompt":"I have 50 rows of daily trading data with fee_units and transaction_count per instrument group — can you rank them by fee_units and tell me how correlated fee_units and transaction_count are across the whole dataset?"},{"title":"Monthly fee tier audit","prompt":"Here are 120 transaction fee records across several instrument groups for October. Can you order them numerically by fee_units and compute the two-measure correlation between fee_units and transaction_count so I can see if busier days also cost more?"},{"title":"Broker fee analytics comparison","prompt":"I've got 30 rows of broker fee observations with fee_units and transaction_count fields. Please rank the rows by fee_units and run a correlation between fee_units and transaction_count — I want to see if higher fees line up with more transactions."}],"resultDescription":"Returns two analytical reports: (1) the input rows ranked/ordered numerically by the selected measure (fee_units or transaction_count), and (2) a correlation analysis between fee_units and transaction_count across all supplied rows — up to 200 rows processed per call using local analytical engines.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — maxItems exceeded, request rejected","Invalid date format (not YYYY-MM-DD) causes validation error","Null values in fee_units or transaction_count may reduce correlation reliability","Missing required fields (row_id, instrument_group, date) cause schema validation failure","Non-numeric fee_units or transaction_count values rejected by schema"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected transaction fee observation records and need both a numeric ranking of rows by fee measure and a statistical correlation between fee_units and transaction_count — all processed locally without any live data lookup, external action, or prediction. Ideal for offline/batch statistical summaries of fee datasets at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:24.216Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-numeric-row-ordering-two-measure-302d0e58"}