{"uid":"cap_ZH0siT_pc_f7j5XcY0OcZ","slug":"account-research-coverage-numeric-interval-filter-daily-sum-series-bfb5da43","name":"Account Research Coverage — Numeric Interval Filter + Daily Sum Series","description":"Account research coverage — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied account research coverage records (researched_accounts, target_accounts). 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-company-08-125?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","researched_accounts","target_accounts"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"target_accounts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"researched_accounts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","target_accounts":1,"researched_accounts":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","target_accounts":2,"researched_accounts":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","target_accounts":3,"researched_accounts":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","target_accounts":4,"researched_accounts":30}],"maxItems":200,"minItems":1},"field":{"enum":["researched_accounts","target_accounts"],"type":"string","default":"researched_accounts"},"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_bHdFXtsQmh_Mm4D-Vq8Ld","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 account research coverage rows by a numeric interval and computes a daily sum time series for researched_accounts or target_accounts data.","exampleAgentPrompt":"Filter my account research coverage rows where researched_accounts is between 0 and 100, then give me the daily sum series — here are the rows: group-a on 2026-10-01 had 10 researched and 1 target, group-b on 2026-10-02 had 20 researched and 2 target.","exampleUseCases":[{"title":"Daily coverage totals for sales team","prompt":"I have 50 rows of account research data across two company groups from last quarter — can you filter where researched_accounts is between 5 and 80, and give me a daily sum series so I can see which days had the most coverage activity?"},{"title":"Target account volume within a threshold","prompt":"Run a numeric interval filter on my target_accounts field between 1 and 50, then compute the daily sum series — I've got about 120 rows of data across groups Alpha and Beta spanning October 2026."},{"title":"Identify low-coverage days by group","prompt":"I want to analyze my account research records: filter researched_accounts between 0 and 25 and produce a daily sum report, so I can pinpoint days where we had unusually low research activity across my company groups."}],"resultDescription":"Returns two analytical reports: (1) rows that pass the numeric interval filter for the chosen field (researched_accounts or target_accounts), and (2) a daily sum time series aggregating that field by date — all computed locally on the supplied data without external lookups.","failureModes":["Input rows array is empty or missing — validation error returned","date fields not in YYYY-MM-DD format — pattern validation failure","minimum exceeds maximum — may yield empty filter results or unexpected behavior","More than 200 rows submitted — rejected at schema level (maxItems constraint)","row_id missing or blank — required field violation","Numeric values outside ±1,000,000,000,000 range — schema validation error"],"whenToPreferThis":"Use this endpoint when you have up to 200 rows of account research coverage data with date, company_group, researched_accounts, and target_accounts fields, and you need both a numeric range filter and a daily sum aggregation in a single call. Prefer this over general analytics tools when you want a lightweight, pay-per-call computation with no external data access or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:20.667Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-numeric-interval-filter-daily-sum-series-bfb5da43"}