{"uid":"cap_iWaSnmwyKBaeZ8q0PBhwq","slug":"account-research-coverage-string-normalisation-exact-row-deduplication-63eed3cb","name":"Account Research Coverage — String Normalisation + Exact Row Deduplication","description":"Account research coverage — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-08-020?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}}},"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_CQhyQvTJ62BdMHmWJqwf8","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 strings and deduplicates exact rows in account research coverage data (researched_accounts, target_accounts) across up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you clean up my account research coverage data — normalise the company group strings and remove any exact duplicate rows? I have up to 50 rows with fields like row_id, company_group, date, researched_accounts, and target_accounts that need cleaning.","exampleUseCases":[{"title":"Sales team deduplicating coverage records","prompt":"I have about 80 rows of account research coverage data from our sales team — can you normalise the company group names and strip out any exact duplicate rows? Each row has a row_id, date, company_group, researched_accounts count, and target_accounts count."},{"title":"Analyst cleaning cross-group coverage report","prompt":"Before I merge our quarterly account research reports, can you run string normalisation and exact deduplication on these 150 coverage rows? They include company_group, date, target_accounts, and researched_accounts fields and I suspect there are inconsistent casing and duplicate entries."},{"title":"Ops team preparing CRM data export","prompt":"We're exporting our CRM account research coverage records for a board review — can you normalise the company group strings and deduplicate any identical rows across these 40 records so the data is clean before we present it?"}],"resultDescription":"Two analytical reports per call: one covering string normalisation results (standardised company group names, corrected formatting) and one covering exact row deduplication results (identified and removed duplicate rows), applied to the supplied account research coverage records (up to 200 rows). No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Exceeding 200 rows causes rejection — keep input to maxItems limit","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) will cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern will be rejected","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) will fail schema validation","Empty rows array will be rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and exact-row deduplication on account research coverage data (researched_accounts and target_accounts) without requiring external lookups, predictions, or professional assessments. Ideal for data hygiene tasks on CRM or sales operations datasets of up to 200 rows at low cost ($0.01 USDC for 2 reports). Not suitable if you need fuzzy deduplication, enrichment, live data lookup, or processing more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:05.098Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-string-normalisation-exact-row-deduplication-63eed3cb"}