{"uid":"cap_VxZZyYfBuVmBZqlcYKzp8","slug":"account-research-coverage-record-quality-audit-string-normalisation-c3caf496","name":"Account Research Coverage — Record Quality Audit + String Normalisation + Duplicate Key Report","description":"Account research coverage — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied account research coverage records (researched_accounts, target_accounts). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-08-192?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_yBFy41IbgVirePaWVrWQs","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":"Audits, normalises, and deduplicates up to 200 rows of account research coverage data (researched_accounts, target_accounts) across three independent local analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and duplicate key check on my account research coverage data? I have rows with fields like row_id, company_group, date, researched_accounts, and target_accounts — here are my 50 rows spanning October 2026 across groups like 'group-a' and 'group-b'.","exampleUseCases":[{"title":"Pre-pipeline CRM data hygiene check","prompt":"I'm about to load my account research coverage records into our CRM — can you audit them first for quality issues, normalise the company group strings, and flag any duplicate row IDs? I have 120 rows with date, company_group, researched_accounts, and target_accounts fields."},{"title":"Weekly research tracking reconciliation","prompt":"Every Monday I need to review last week's account research data for duplicates and formatting problems. Here are 80 rows from groups like 'enterprise-west' and 'smb-east' covering 2026-10-01 through 2026-10-07 — run all three reports: quality audit, string normalisation, and duplicate key check."},{"title":"Multi-team coverage data merge validation","prompt":"We just merged account research coverage records from two sales teams and I need to check for duplicate keys, string inconsistencies in the company_group field, and overall record quality before we share the combined dataset. Can you process these 150 rows and give me all three reports?"}],"resultDescription":"Three independent reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report identifying and standardising inconsistencies in text fields like company_group; (3) a duplicate key report identifying rows sharing identical key combinations. All analysis is performed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause row-level validation errors","Date strings not matching YYYY-MM-DD pattern are flagged or rejected","Numeric values for researched_accounts or target_accounts outside allowed range cause validation errors","Empty rows array (minItems:1 not met) results in an error response","Payment of 0.01 USDC not confirmed causes request rejection"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, normalise string fields, and detect duplicate keys in account research coverage data in a single $0.01 call. It is ideal for pre-ingestion validation of CRM or sales research datasets with up to 200 rows where no live lookups, predictions, or external enrichment are needed — just fast, local analytical reports on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:53.841Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-record-quality-audit-string-normalisation-c3caf496"}