{"uid":"cap_L8GFsRWsVw3xvyjJnM-b8","slug":"job-execution-imports-numeric-type-check-2f4245b2","name":"Job Execution Imports — Numeric Type Check","description":"Job execution imports — Numeric type check: Numeric type check for Job execution 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 numeric type check report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-jobs-types?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"job_id,executed_on,worker_id,elapsed_seconds,processed_rows\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_SujhKPo634OlIAglV2HkK","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":"Validates that all numeric columns in a job-execution CSV conform to declared type constraints (min, max, allowed categories, cell length) and returns a type-check report.","exampleAgentPrompt":"Check this job execution CSV for numeric type errors — columns are job_id, executed_on, worker_id, elapsed_seconds, and processed_rows — using a comma delimiter, minimum 0, maximum 1000000, and flag any cell over 1000 characters: job_id,executed_on,worker_id,elapsed_seconds,processed_rows\\nrecord-a,2026-01-01,group-a,10,2\\nrecord-b,2026-01-02,group-b,20,3","exampleUseCases":[{"title":"Pre-load job CSV validation","prompt":"Before I import this job execution file into our data warehouse, can you run a numeric type check on it with a comma delimiter, min 0, max 86400 for elapsed_seconds, and make sure no cell exceeds 500 characters? Here's the CSV: job_id,executed_on,worker_id,elapsed_seconds,processed_rows\\njob-1,2026-03-01,worker-a,3600,100\\njob-2,2026-03-02,worker-b,abc,200"},{"title":"Pipeline data quality gate","prompt":"Our ETL pipeline just produced a job run CSV — validate the numeric columns with min -1000000000000, max 1000000000000, comma delimiter, and allowed categories group-a and group-b. I need to know if there are any type violations before we proceed. CSV: job_id,executed_on,worker_id,elapsed_seconds,processed_rows\\nrun-x,2026-04-01,group-a,500,50\\nrun-y,2026-04-02,group-c,700,75"},{"title":"Scheduled nightly import check","prompt":"Every night we get a job execution CSV — can you type-check the numeric fields using semicolon delimiter, minimum 0, maximum 999999, and max cell length 200, and tell me which rows have problems? Here's tonight's file: job_id;executed_on;worker_id;elapsed_seconds;processed_rows\\nnight-1;2026-05-01;team-a;1200;30\\nnight-2;2026-05-02;team-b;-5;15"}],"resultDescription":"Returns a numeric type check report covering up to 1000 rows of the submitted CSV, identifying which cells or columns fail numeric type constraints, out-of-range values, disallowed category values, or cell length violations. The report indicates overall pass/fail status and row-level detail.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV has zero rows or is empty — validation cannot proceed","Delimiter mismatch causes all rows to parse as single-column — type errors reported on unexpected structure","Minimum value greater than maximum value — configuration error","More than 1000 rows submitted — only up to 1000 rows processed or request rejected","Malformed CSV with unclosed quotes — parser error returned"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, cost-effective ($0.01 USDC) numeric type validation specifically tailored to job execution import CSVs with columns like job_id, executed_on, worker_id, elapsed_seconds, and processed_rows. It is ideal for pre-load data quality checks, ETL pipeline gates, and contract validation against declared numeric ranges and allowed categories, supporting up to 1000 rows with quoted-cell handling and no external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:09:29.863Z","isFirstParty":false,"canonicalSlug":"job-execution-imports-numeric-type-check-2f4245b2"}