{"uid":"cap_vCQ5v8M4oBvjxT1XVw1xJ","slug":"training-example-metadata-csv-validation-summary-60e6cd9f","name":"Training Example Metadata CSV Validation Summary","description":"Training example metadata — Validation summary: Validation summary for Training example metadata. 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 validation summary report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-training-data-summary?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"example_id,created_on,label,text_length,sample_weight\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_MLaEvLJIKZCbEEsqZ4pKv","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 a declared CSV table contract for training example metadata, returning a validation summary report including category checks, numeric range checks, and cell length constraints.","exampleAgentPrompt":"Can you validate this training data CSV for me — it uses comma delimiters, allowed categories are 'group-a' and 'group-b', numeric values should be between 0 and 1000000, and max cell length is 500? Here's the CSV: 'example_id,created_on,label,text_length,sample_weight\\nrecord-a,2026-01-01,group-a,10,2'","exampleUseCases":[{"title":"ML pipeline training data QA","prompt":"I need to validate my ML training dataset CSV before running a training job — categories allowed are 'positive', 'negative', 'neutral', numeric values should be between 0 and 100, and the delimiter is a comma. Here's the CSV content — can you give me a full validation summary?"},{"title":"Label compliance check for annotated dataset","prompt":"Can you check this annotated training CSV to make sure all label values are only 'cat', 'dog', or 'bird', numeric scores stay between -1 and 1, max cell length is 200, and the file uses tab delimiters? I want to catch any rows that violate the contract before I ship it."},{"title":"Pre-upload CSV contract verification","prompt":"Before I upload my training examples to the data pipeline, please validate this CSV — comma-separated, allowed categories are 'group-a' and 'group-b', numbers must be between 0 and 1000000000000, and cells can be at most 1000 characters. Tell me if anything fails the declared contract."}],"resultDescription":"A validation summary report covering: row count (up to 1000 rows), category conformance (whether all values are within allowed_categories), numeric range compliance (whether numeric cells fall within minimum/maximum bounds), cell length violations (cells exceeding max_cell_length), and an overall pass/fail indication. Quoted CSV cells are supported.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV contains fewer than 1 or zero characters — rejected","Delimiter not one of comma, semicolon, or tab — rejected","More than 100 allowed_categories specified — rejected","CSV has more than 1000 rows — only first 1000 validated","Malformed CSV with unmatched quotes — parse error returned","Numeric values outside the -1,000,000,000,000 to 1,000,000,000,000 range for minimum/maximum parameters — schema error"],"whenToPreferThis":"Use this endpoint when you need a quick, low-cost ($0.01 USDC) contract-based validation of a training data CSV — particularly when you have explicit constraints like allowed category labels, numeric ranges, and cell length limits. It is ideal for ML data pipelines that need automated pre-flight checks on training example files before ingestion. It is not suitable for large datasets over 1000 rows (only the first 1000 are checked), external enrichment, or complex schema inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T06:50:28.938Z","isFirstParty":false,"canonicalSlug":"training-example-metadata-csv-validation-summary-60e6cd9f"}