{"uid":"cap_Mb5nwc14ruCs6gzfut5A2","slug":"transaction-fee-observations-numeric-interval-filter-adjacent-row-dad1f6a5","name":"Transaction Fee Observations — Numeric Interval Filter + Adjacent Row Changes","description":"Transaction fee observations — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-03-127?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_towFuyCD-ntjZmbho4UxX","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":"Applies a numeric interval filter and computes adjacent row changes on user-supplied transaction fee observation records (fee_units, transaction_count), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a set of transaction fee observations with columns row_id, instrument_group, date, fee_units, and transaction_count — can you run the numeric interval filter (keeping fee_units between 10 and 50) and the adjacent row changes report on these rows for me? Here are up to 200 rows of data.","exampleUseCases":[{"title":"Flagging fees outside normal range","prompt":"I have 150 rows of daily transaction fee records with fee_units and transaction_count per instrument group. Can you filter them to only show rows where fee_units falls between 5 and 100, and also show me the adjacent row changes for fee_units?"},{"title":"Detecting sudden transaction count jumps","prompt":"Here's my transaction observation dataset — dates, row IDs, instrument groups, and transaction counts. Run the interval filter keeping transaction_count between 1 and 500, and compute the adjacent row changes on transaction_count so I can see where big jumps happened."},{"title":"Cross-group fee movement audit","prompt":"I've got fee observation records across several instrument groups for October 2026. Filter to fee_units between 15 and 30 and show me the adjacent row changes side by side so I can audit which groups had the biggest sequential swings."}],"resultDescription":"Returns two analytical reports: (1) rows from the submitted dataset whose selected field (fee_units or transaction_count) falls within the specified [minimum, maximum] interval; and (2) adjacent row change values showing the delta between consecutive rows for the selected field. Up to 200 input rows processed per call.","failureModes":["Input exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, fee_units, transaction_count, instrument_group) cause validation errors","Date values not matching YYYY-MM-DD pattern result in schema rejection","Minimum greater than maximum produces empty interval filter results","Null numeric values in the selected field may be excluded from or cause errors in adjacent row change computation","Payment of 0.01 USDC not completed — endpoint returns 402 without processing"],"whenToPreferThis":"Choose this endpoint when you have pre-collected transaction fee observation data (up to 200 rows) and need both a numeric range filter and adjacent row delta analysis in a single low-cost call. It is not a live data feed or prediction service — it is a local analytical engine operating purely on supplied data. Prefer it over general-purpose analytics when you specifically need the combination of interval filtering and row-over-row change detection on fee_units or transaction_count fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:35.336Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-numeric-interval-filter-adjacent-row-dad1f6a5"}