{"uid":"cap_hCL4fK0yrrUo-YcCnCgpW","slug":"account-research-coverage-string-normalisation-date-by-category-pivot-27813264","name":"Account Research Coverage — String Normalisation + Date by Category Pivot","description":"Account research coverage — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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-08-035?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"}}},"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_pXJ0CdCKp9IMfNrTku6VF","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 string fields and produces a date-by-category pivot report for up to 200 account research coverage rows, delivering two analytical reports per call.","exampleAgentPrompt":"I have account research coverage records with company groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and columns for researched_accounts and target_accounts — can you normalise the string fields and pivot the researched_accounts data by date and category, up to 200 rows?","exampleUseCases":[{"title":"Sales coverage gap pivot report","prompt":"I have a CSV of up to 150 account research coverage rows with company groups, dates, and counts of researched and target accounts — please normalise the company group strings and pivot the target_accounts field by date and category so I can see which groups have coverage gaps over time."},{"title":"Monthly research tracking by group","prompt":"Here are 200 rows of account research data spanning October 2026, each with a row_id, company_group, date, and both researched_accounts and target_accounts values — normalise the text fields and give me a date-by-category pivot on researched_accounts so I can track research progress by group each day."},{"title":"Data quality cleanup before board report","prompt":"Before I present to leadership, I need to clean up this account research dataset — 80 rows with messy company_group strings and date-stamped coverage counts — please run the string normalisation and produce a date pivot report using the researched_accounts field."}],"resultDescription":"Two analytical reports: (1) a string-normalised version of the input records with cleaned company_group and other text fields, and (2) a date-by-category pivot table showing the selected numeric field (researched_accounts or target_accounts) broken down by date and company_group — all computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric fields outside allowed range (±1 trillion) — rejected","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 account research coverage records and need both string normalisation of categorical fields and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is best suited for offline batch analytics on supplied data rather than live lookups or predictive modelling. Prefer it over general-purpose analytics tools when you need two bundled reports (normalisation + pivot) with a predictable flat price and no external data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:38:34.431Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-string-normalisation-date-by-category-pivot-27813264"}