{"uid":"cap_lrtCQZVzNiiD3_esP4TRY","slug":"transaction-fee-observations-category-frequencies-numeric-interval-5ac7de06","name":"Transaction Fee Observations — Category Frequencies + Numeric Interval Filter","description":"Transaction fee observations — Category frequencies + Numeric interval filter: Category frequencies + 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-03-101?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_M17C2ShBkF2e08doi2PHd","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 supplied transaction fee observation records by computing category frequencies and applying a numeric interval filter, returning two local analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 rows of transaction fee observations with fee_units and transaction_count by instrument group — can you run a category frequency analysis and filter the fee_units to only show records between 0 and 100?","exampleUseCases":[{"title":"Fee distribution by instrument group","prompt":"I've got a dataset of 120 daily transaction fee records across instrument groups like equities and derivatives. Can you compute how frequently each instrument group appears and filter to show only records where fee_units is between 5 and 250?"},{"title":"Transaction count range analysis","prompt":"Here are my transaction fee observations for October. I want to know the category frequencies for instrument_group and filter to transaction_count values between 10 and 500 so I can see which groups dominate that activity range."},{"title":"Outlier fee range exclusion","prompt":"I have 80 rows of fee data and I want to exclude extreme values — can you run category frequencies on the full dataset and then show me only the fee_units records that fall between 1 and 1000, so I can spot any unusual concentrations?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency breakdown showing how often each distinct value of instrument_group appears in the supplied rows, and (2) a numeric interval filter report listing records where the selected numeric field (fee_units or transaction_count) falls within the specified minimum–maximum range. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds max row limit","Invalid date format (non YYYY-MM-DD) — schema validation failure","fee_units or transaction_count values outside ±1,000,000,000,000 — schema rejection","minimum greater than maximum — may return empty interval filter result","Missing required fields (row_id, instrument_group, date) — validation error","Payment not completed — endpoint inaccessible"],"whenToPreferThis":"Choose this endpoint when you have pre-collected transaction fee observation data (up to 200 rows) and need two specific analytical views — category frequency counts by instrument group and a numeric range filter on fee_units or transaction_count — without requiring any live data lookup, external enrichment, or predictive modeling. It is ideal for quick local analysis of structured fee datasets at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:04.075Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-category-frequencies-numeric-interval-5ac7de06"}