{"uid":"cap_1bM3928n9FOAcXI2Dg9P5","slug":"account-research-coverage-record-quality-audit-string-normalisation-da89e049","name":"Account Research Coverage — Record Quality Audit + String Normalisation + Trailing Mean Series","description":"Account research coverage — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series 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-08-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_IWfeblk13LdtP3D5KgVRn","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 trailing mean series) on account research coverage data (researched_accounts, target_accounts) for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of my account research coverage records, normalise the company_group strings, and compute a trailing mean over a window of 3 for researched_accounts? Here are my rows: [{\"row_id\":\"r1\",\"company_group\":\"group-a\",\"date\":\"2025-01-01\",\"researched_accounts\":12,\"target_accounts\":50},{\"row_id\":\"r2\",\"company_group\":\"Group-A\",\"date\":\"2025-01-02\",\"researched_accounts\":15,\"target_accounts\":null}]","exampleUseCases":[{"title":"Sales coverage data quality check","prompt":"I have a list of 80 daily account research coverage rows across several company groups — can you run a record quality audit on them and flag any rows with missing or malformed values? Here's the dataset with row_id, company_group, date, researched_accounts, and target_accounts."},{"title":"Normalising inconsistent company group names","prompt":"My account research export has messy company_group labels like 'Group-A', 'group a', and 'GROUP A' — can you normalise those strings so they're consistent across all 120 rows?"},{"title":"Rolling average of researched accounts","prompt":"For my 60 rows of daily account research coverage data, can you compute a trailing mean series for researched_accounts using a window of 5, grouped by date?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging completeness, validity, and formatting issues per row; (2) a string normalisation report standardising company_group and other text fields; and (3) a trailing mean series for the specified numeric field (researched_accounts or target_accounts) computed over the given window size — all derived locally from the supplied data, with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","date field not matching YYYY-MM-DD pattern — validation error","numeric values for researched_accounts or target_accounts outside allowed range — schema error","window value less than 2 or greater than 200 — parameter error","Missing required fields (row_id, company_group, date) — schema validation failure","Payment not completed or insufficient USDC — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and trailing mean series — on account research coverage data in a single low-cost call ($0.01 USDC). Ideal for sales ops teams, revenue analysts, or data pipelines that need to clean and summarise researched_accounts or target_accounts datasets of up to 200 rows without any external data enrichment or live lookups. Prefer this over separate ETL tools when you want a fast, self-contained, offline analysis bundle.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:15.239Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-record-quality-audit-string-normalisation-da89e049"}