{"uid":"cap_ekcyIkB5Ciw9-8gSXf34k","slug":"account-research-coverage-string-normalisation-numeric-interval-filter-cbf8def2","name":"Account Research Coverage — String Normalisation + Numeric Interval Filter","description":"Account research coverage — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-08-026?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_y3PRz3tSSrWFxtXRHTT9y","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":"Normalises company group strings and filters account research coverage records (researched_accounts, target_accounts) by a numeric interval, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of up to 50 account research records with company groups and coverage counts — can you normalise the company_group strings and filter to only show rows where researched_accounts is between 10 and 150?","exampleUseCases":[{"title":"Sales team coverage gap filter","prompt":"I've got 80 rows of account research data with company groups and researched_accounts counts — please normalise the group names and filter down to only the rows where researched_accounts falls between 5 and 75, so I can see where coverage is in that mid-range."},{"title":"Target account pipeline scoping","prompt":"Can you take my 120-row account dataset and normalise the company_group field, then filter target_accounts to show only records where the value is between 10 and 500? I want to focus on mid-sized target pipelines."},{"title":"Data quality check on coverage records","prompt":"I have a messy spreadsheet of 40 account research records with inconsistent company group names — normalise the strings and filter researched_accounts to values between 0 and 30 so I can audit the low-coverage entries."}],"resultDescription":"Returns two reports: one covering string normalisation of the company_group field across supplied rows, and one showing rows where the chosen numeric field (researched_accounts or target_accounts) falls within the specified minimum–maximum interval. Limited to 200 input rows per call.","failureModes":["Fewer than 1 row supplied — rejected by minItems validation","More than 200 rows submitted — rejected by maxItems constraint","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","Numeric values outside ±1,000,000,000,000 range rejected","Unrecognised field enum value (not researched_accounts or target_accounts) causes error","minimum greater than maximum may return empty filter result or error","Missing required row fields (row_id, company_group, date) cause row rejection"],"whenToPreferThis":"Choose this endpoint when you have structured account research coverage tabular data (up to 200 rows) and need both string normalisation of company group labels AND numeric interval filtering on coverage counts in a single call. It is ideal for lightweight local analytical processing of CRM or sales coverage exports without any external lookups or predictions. Prefer this over general-purpose analytics when the specific combination of string normalisation and numeric interval filtering on researched_accounts or target_accounts fields is needed at low cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:20.397Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-string-normalisation-numeric-interval-filter-cbf8def2"}