{"uid":"cap_0spcf9T-nN3B6SN5EECXy","slug":"timesheet-imports-column-statistics-cb0a0cfc","name":"Timesheet Imports — Column Statistics","description":"Timesheet imports — Column statistics: Column statistics for Timesheet imports. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV column statistics report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-timesheets-column-stats?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"entry_id,worked_on,project_id,worked_hours,hourly_rate\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3","maxLength":100000,"minLength":1},"maximum":{"type":"number","default":1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":-1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"delimiter":{"enum":[",",";","\t"],"type":"string","default":","},"max_cell_length":{"type":"integer","default":1000,"maximum":5000,"minimum":1},"allowed_categories":{"type":"array","items":{"type":"string","default":"","maxLength":100,"minLength":1},"default":["group-a","group-b"],"maxItems":100,"minItems":0}}},"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_jNzlptdZiHHwRD5aRDzJN","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":"Computes per-column statistics for a timesheet CSV upload, validating structure and summarizing numeric ranges and categorical distributions up to 1000 rows.","exampleAgentPrompt":"Can you run column statistics on my timesheet CSV — it uses comma delimiters and has columns for entry_id, worked_on, project_id, worked_hours, and hourly_rate — and tell me if there are any out-of-range values or invalid project categories like anything outside group-a and group-b?","exampleUseCases":[{"title":"Pre-import timesheet data audit","prompt":"Before I upload this timesheet CSV to payroll, can you analyze each column and tell me if any worked_hours values are negative or any project_id values aren't in my allowed list of group-a or group-b?"},{"title":"Hourly rate range validation","prompt":"I have a timesheet CSV with hourly_rate and worked_hours columns — can you compute column statistics and flag anything where the hourly rate is outside 10 to 500?"},{"title":"Automated CSV quality check for billing","prompt":"Every week I get a timesheet CSV from contractors with columns entry_id, worked_on, project_id, worked_hours, and hourly_rate — can you profile the columns and summarize how many rows are valid versus out of range?"}],"resultDescription":"A per-column statistics report covering numeric ranges (min, max, mean), categorical value distributions, cell length violations, and validation results against declared allowed categories and numeric bounds — delivered as a structured JSON summary for up to 1000 CSV rows.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV has fewer than 1 or malformed rows — parse error returned","Delimiter mismatch causes single-column parse — incorrect statistics","Cell length exceeds max_cell_length — validation warning or truncation","Numeric columns contain non-numeric values — column may be treated as categorical","More than 100 allowed_categories supplied — rejected by schema constraint"],"whenToPreferThis":"Choose this endpoint when you need fast, structured column-level statistics and validation for timesheet-specific CSV data (entry IDs, dates, project codes, hours, rates) without requiring external enrichment. Ideal for pre-import quality gates, automated payroll pipeline checks, or contractor billing audits where you need both numeric range validation and categorical allowlist enforcement in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:17.706Z","isFirstParty":false,"canonicalSlug":"timesheet-imports-column-statistics-cb0a0cfc"}