{"uid":"cap_qwMx0dS2zUyRn0OcCHlxD","slug":"account-research-coverage-record-quality-audit-string-normalisation-69a91c4b","name":"Account Research Coverage – Record Quality Audit, String Normalisation & Category Frequencies","description":"Account research coverage — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-08-195?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_g4zLKHDulRa5O3BmxwFJW","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":"Runs three local analytical reports (record quality audit, string normalisation, and category frequencies) on up to 200 rows of account research coverage data containing researched_accounts and target_accounts fields.","exampleAgentPrompt":"Can you run the three-report account research coverage audit on my dataset — record quality, string normalisation, and category frequencies — for these rows: row-1, 2026-10-01, group-a, researched_accounts=10, target_accounts=1; row-2, 2026-10-02, group-b, researched_accounts=20, target_accounts=2?","exampleUseCases":[{"title":"Pre-pipeline data quality gate","prompt":"Before we push this quarter's account research records into Salesforce, can you run the quality audit, string normalisation, and category frequency reports on these 150 rows of researched_accounts and target_accounts data to flag any bad values or inconsistent company_group names?"},{"title":"Weekly coverage tracking sanity check","prompt":"Every Monday I get a CSV of researched_accounts vs target_accounts by company group and date — can you run all three analytical reports on this week's 80 rows so I can see which groups have data issues and what the category breakdown looks like?"},{"title":"Onboarding new territory data","prompt":"We just imported account coverage records for three new territories into our system — can you audit the record quality, normalise the company_group strings, and show me category frequencies for these 60 rows before we hand them to the reps?"}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging nulls, out-of-range values, and malformed fields across the supplied rows; (2) a string normalisation report showing standardised versions of company_group and other string fields; and (3) a category frequency table summarising how often each company_group category appears across the dataset. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Submitting more than 200 rows causes a validation error (maxItems exceeded)","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) causes row-level rejection","Incorrectly formatted date strings (not YYYY-MM-DD) fail schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems:1 violated) returns an error","Payment of 0.01 USDC must succeed for reports to be returned"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost, local-only quality check on account research coverage records — specifically for the combination of record quality auditing, string normalisation, and category frequency analysis in a single call. It does not perform live lookups, predictions, or enrichment, so it is ideal for pre-ingestion validation or routine data hygiene checks on batches of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:36.183Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-record-quality-audit-string-normalisation-69a91c4b"}