{"uid":"cap_4yB127dttLKMUBqGoYuu8","slug":"course-grade-imports-numeric-type-check-5551afdc","name":"Course Grade Imports — Numeric Type Check","description":"Course grade imports — Numeric type check: Numeric type check for Course grade 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-grades-types?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"result_id,graded_on,course_id,earned_points,possible_points\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_nVv378MhsR8KEKJrZS2Ac","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 numeric columns in a course grade CSV (earned points, possible points, etc.) contain properly typed numeric values within configurable bounds.","exampleAgentPrompt":"Can you check this course grades CSV for numeric type errors — make sure earned_points and possible_points are valid numbers, with values between 0 and 1000, using a comma delimiter, and flag any cells that don't pass?","exampleUseCases":[{"title":"Pre-import grade file validation","prompt":"Before I upload this CSV of student grades to the LMS, check that earned_points and possible_points are all proper numbers with values between 0 and 500 — the file uses comma delimiters and course IDs should only be group-a or group-b."},{"title":"Automated ETL data quality gate","prompt":"As part of my nightly grade sync pipeline, run a numeric type check on this CSV of course results — minimum value 0, maximum 100, comma-separated — and tell me which rows or cells fail so I can block the import."},{"title":"Catching spreadsheet export corruption","prompt":"My exported grades CSV might have text like 'N/A' or blank cells in the points columns — can you validate the numeric types with min -1000000000000 and max 1000000000000 and give me a report of any bad cells?"}],"resultDescription":"A numeric type check report indicating which cells or rows in the CSV contain non-numeric values or values outside the configured minimum/maximum bounds, covering up to 1000 rows of grade data.","failureModes":["CSV exceeds 100,000 character limit — request rejected","Row count exceeds 1000 rows — validation may be truncated or refused","Invalid delimiter specified — must be comma, semicolon, or tab","Minimum value greater than maximum value — configuration error","Cell length exceeds max_cell_length — cell flagged or rejected","Malformed CSV (unmatched quotes) — parse error returned"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) numeric type validation pass on a course grade CSV before importing it into an LMS or data pipeline. It is purpose-built for the course grade domain with preset column semantics (earned_points, possible_points, course_id) and supports configurable value bounds and category whitelists. Prefer it over generic CSV validators when your data follows the standard grade import schema and you need a fast, deterministic type check without external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:06:32.161Z","isFirstParty":false,"canonicalSlug":"course-grade-imports-numeric-type-check-5551afdc"}