{"uid":"cap_7PM4bvRzI5DaNJ2c1_N_X","slug":"evaluation-run-imports-category-allowlist-check-df7feb4e","name":"Evaluation Run Imports — Category Allowlist Check","description":"Evaluation run imports — Category allowlist check: Category allowlist check for Evaluation run 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 category allowlist check report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-evaluations-categories?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"evaluation_id,evaluated_on,dataset_id,correct_count,example_count\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_Rgl6q5H78eRpW9NbYZg8k","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 category columns in an evaluation run CSV contain only values from a declared allowlist, up to 1000 rows.","exampleAgentPrompt":"Can you check my evaluation run CSV to make sure every category value is one of 'group-a', 'group-b', or 'group-c'? The CSV uses comma delimiters and here it is: 'evaluation_id,evaluated_on,dataset_id,correct_count,example_count\\nrecord-a,2026-01-01,group-a,10,2\\nrecord-b,2026-01-02,group-d,20,3'","exampleUseCases":[{"title":"Pre-import category audit for ML pipeline","prompt":"Before I load this evaluation run CSV into our pipeline, can you verify that every entry in the dataset_id column is one of 'group-a', 'group-b', or 'group-c'? Here's the CSV with comma-separated values."},{"title":"Catch unexpected categories in evaluation data","prompt":"I just exported our evaluation results and I want to make sure no rogue category values snuck in — can you check this CSV against my approved category list: ['train', 'test', 'validation']? Use comma as the delimiter."},{"title":"Validate evaluation dataset before analyst review","prompt":"We're handing evaluation run data to the analysis team and need to confirm all category labels are on the approved allowlist. Can you run a category allowlist check on this CSV? Allowed categories are 'cohort-1', 'cohort-2', and 'cohort-3'."}],"resultDescription":"Returns a category allowlist check report indicating which rows and cells contain category values that are not present in the declared allowed_categories list, along with a pass/fail summary for the entire CSV (up to 1000 rows).","failureModes":["CSV exceeds 1000 rows — only first 1000 may be processed","CSV string is empty or missing — returns validation error","Individual cell exceeds max_cell_length limit — flagged or rejected","Delimiter mismatch causes entire row to be parsed as one cell","allowed_categories list is empty — all non-empty category values may be flagged","CSV is malformed or unquoted incorrectly — parsing errors returned","allowed_categories contains more than 100 entries — exceeds schema limit"],"whenToPreferThis":"Use this endpoint when you need to validate that category or label columns in an evaluation run CSV conform strictly to a declared set of permitted values before importing data into a downstream system. Prefer it over generic CSV validators when you specifically need category allowlist enforcement with a structured report output. Ideal for ML evaluation pipeline gates, data quality checks before analyst handoff, or automated pre-import validation workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T00:59:15.023Z","isFirstParty":false,"canonicalSlug":"evaluation-run-imports-category-allowlist-check-df7feb4e"}