{"uid":"cap_M4lJx2srhW_zgM4069kLS","slug":"application-processing-imports-numeric-type-check-64fe384b","name":"Application Processing Imports — Numeric Type Check","description":"Application processing imports — Numeric type check: Numeric type check for Application processing 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-applications-types?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"application_id,received_on,role_id,stage_duration_days,assessment_score\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_VZ8hoc7S5F0R2bhNqFAgj","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 an application-processing CSV conform to declared type constraints (range, delimiter, cell length) and returns a report of any violations.","exampleAgentPrompt":"Can you run a numeric type check on this application CSV — it uses comma delimiters, scores should be between 0 and 100, and stage_duration_days should be a positive number? Here's the CSV: application_id,received_on,role_id,stage_duration_days,assessment_score\nrecord-a,2026-01-01,group-a,10,85\nrecord-b,2026-01-02,group-b,20,91","exampleUseCases":[{"title":"Pre-import validation for recruitment data","prompt":"Before I upload this batch of application records to our ATS, can you check the CSV for numeric type errors? The delimiter is a comma, assessment scores should be between 1 and 10, and stage durations shouldn't exceed 90 days."},{"title":"QA check on exported applicant pipeline report","prompt":"I exported our applicant pipeline data as a CSV and I want to make sure all the numeric columns — like assessment_score and stage_duration_days — contain valid numbers with no text or blanks sneaking in. The file uses comma separators and scores range from 0 to 100."},{"title":"Automated data quality gate in hiring workflow","prompt":"As part of our hiring workflow, run a numeric type check on this application CSV before it moves to the next stage — delimiter is a tab, minimum allowed value is 0, maximum is 1000000, and flag anything that doesn't parse as a valid number."}],"resultDescription":"A structured numeric type check report indicating which cells or rows failed numeric validation, including details on out-of-range values, non-numeric content, or cells exceeding maximum length — up to 1000 rows analyzed per call.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows in the CSV — only first 1000 processed or error returned","Invalid delimiter specified (must be comma, semicolon, or tab)","Malformed CSV with unmatched quotes — parsing error returned","min/max values outside the allowed range of ±1,000,000,000,000 — schema validation failure","Empty CSV body — minLength constraint violated"],"whenToPreferThis":"Choose this endpoint when you need a fast, lightweight numeric type validation pass on a CSV of application or HR records — especially when you want range checking (min/max bounds), category allow-listing, and cell-length enforcement in a single call without any external data enrichment. Ideal as a pre-import gate in automated hiring or data pipeline workflows handling up to 1000 rows per batch.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:12:54.097Z","isFirstParty":false,"canonicalSlug":"application-processing-imports-numeric-type-check-64fe384b"}