{"uid":"cap_mjVllUykoNHFWQCmEsk2s","slug":"account-research-coverage-numeric-interval-filter-adjacent-row-changes-2747b25c","name":"Account Research Coverage — Numeric Interval Filter + Adjacent Row Changes","description":"Account research coverage — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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-08-127?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_vhqec1WKMHpHsX7RacCG0","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 on a chosen field and reports adjacent row changes, producing two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have 4 account research coverage records across two company groups (group-a and group-b) from 2026-10-01 to 2026-10-04 with researched_accounts and target_accounts values — can you filter the researched_accounts field to only rows between 0 and 100 and also show me how each row's value changes from the one before it?","exampleUseCases":[{"title":"Filter research coverage by account volume range","prompt":"I've got a list of daily researched_accounts and target_accounts records for my sales team — can you filter down to only the rows where researched_accounts falls between 10 and 50, and also show me how each row's value shifted from the previous one? I have about 30 rows across groups alpha and beta from Q3."},{"title":"Detect spikes in target accounts between adjacent dates","prompt":"Here are 80 rows of account coverage data by company group from January through March — can you filter target_accounts to only values between 100 and 500, and flag where the count jumps or drops between consecutive records?"},{"title":"Audit coverage records for an outlier range","prompt":"I'm reviewing our account research coverage logs for group-west and group-east — please filter researched_accounts between 0 and 25 to find the underperforming days, and also give me the adjacent row changes so I can see which days had the biggest swings."}],"resultDescription":"Two analytical reports: (1) rows filtered to those where the chosen field (researched_accounts or target_accounts) falls within the specified [minimum, maximum] interval, and (2) a change report showing value differences between adjacent rows for the same field — all computed locally from the supplied data, up to 200 rows, with no external lookups.","failureModes":["Rows array is empty or missing — validation error returned","row_id values are not unique — may cause ambiguous adjacent-row comparisons","date strings don't match YYYY-MM-DD pattern — schema validation failure","minimum is greater than maximum — interval returns no matching rows","More than 200 rows supplied — request rejected with maxItems error","Null values in target_accounts or researched_accounts — nulls may be excluded from interval filter or change calculation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected account research coverage records (with researched_accounts and target_accounts fields) and need both a numeric range filter and a sequential row-change report in a single low-cost call. It is ideal for offline/batch analysis of CRM exports or sales pipeline snapshots where no live lookup or external enrichment is needed. Prefer alternatives when you need real-time data fetching, more than 200 rows, or different analytical operations such as deduplication or string normalization.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:30.724Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-numeric-interval-filter-adjacent-row-changes-2747b25c"}