{"uid":"cap_KYo7-nFImJqj9t9xcz6-g","slug":"record-routing-analytics-numeric-interval-filter-daily-sum-series-d20c36fe","name":"Record Routing Analytics — Numeric Interval Filter + Daily Sum Series","description":"Record routing — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied record routing records (accepted_records, rejected_records). 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-analytics-19-125?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"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_1dMW2iuHgOxN_4RaCeVOU","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":"Filters record routing data (accepted/rejected records) by a numeric interval and computes a daily sum time series, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Filter my record routing dataset by accepted_records between 5 and 50, then compute a daily sum series — here are the rows: row-1 on 2026-10-01 group-a with 10 accepted and 1 rejected, row-2 on 2026-10-02 group-b with 20 accepted and 2 rejected, row-3 on 2026-10-03 group-a with 15 accepted and 3 rejected.","exampleUseCases":[{"title":"Daily rejection spike detection","prompt":"I have 4 days of record routing data and want to find days where rejected_records fall between 2 and 10 — give me the interval-filtered rows and a daily sum series so I can spot spikes. Rows: row-1 2026-10-01 group-a accepted=10 rejected=1, row-2 2026-10-02 group-b accepted=20 rejected=2, row-3 2026-10-03 group-a accepted=15 rejected=3, row-4 2026-10-04 group-b accepted=30 rejected=4."},{"title":"Accepted records throughput summary","prompt":"Run a daily sum report on my accepted_records routing data, filtering to values between 10 and 25. Here's my dataset: row-1 2026-10-01 group-a accepted=10 rejected=1, row-2 2026-10-02 group-b accepted=20 rejected=2, row-3 2026-10-03 group-a accepted=15 rejected=3, row-4 2026-10-04 group-b accepted=30 rejected=4."},{"title":"Multi-group routing quality audit","prompt":"I need two analytical reports on this record routing extract — filter accepted_records between 0 and 20 and show me the daily sums per date. My rows are: row-1 2026-11-01 group-a accepted=8 rejected=0, row-2 2026-11-02 group-b accepted=18 rejected=5, row-3 2026-11-03 group-a accepted=22 rejected=2, row-4 2026-11-04 group-b accepted=12 rejected=1."}],"resultDescription":"Returns two analytical reports derived from the supplied record routing rows: (1) the subset of rows where the chosen field (accepted_records or rejected_records) falls within the specified [minimum, maximum] interval, and (2) a daily sum time series aggregating that field's values by date — all computed locally with no external data lookups.","failureModes":["Empty or missing rows array returns a validation error","Row count exceeding 200 items is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","minimum greater than maximum produces an empty interval filter result","Null values in the target numeric field may be excluded from sums","Missing required fields (row_id, date, accepted_records, rejected_records) cause request rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 record routing rows with accepted/rejected record counts and need both a numeric range filter and a daily aggregation in a single call for a flat $0.01 USDC fee. It is ideal for lightweight, self-contained analytics on supplied data without needing a full BI platform or external database. Prefer it over general-purpose analytics APIs when your data is already structured with dataset_group and date fields and you want two ready-made reports (interval filter + daily sum series) simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:47.996Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-numeric-interval-filter-daily-sum-series-d20c36fe"}