{"uid":"cap_saAK_Zve8N8exaRSR7W9S","slug":"training-example-metadata-valid-row-export-b8dbe572","name":"Training Example Metadata — Valid Row Export","description":"Training example metadata — Valid row export: Valid row export 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 valid row export report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-training-data-valid-rows?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_UigIIllbRlNyYZ6EetgGw","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 CSV file of training example metadata and exports only the rows that pass all declared column constraints, up to 1000 rows.","exampleAgentPrompt":"Can you validate my training data CSV and export only the valid rows? The file uses comma delimiters, labels should only be 'group-a' or 'group-b', numeric values should be between 0 and 1000000, and max cell length is 1000 characters.","exampleUseCases":[{"title":"Pre-training dataset quality gate","prompt":"I have a CSV of labeled training examples with columns example_id, created_on, label, text_length, and sample_weight. Can you validate it and export only the rows where label is one of 'cat', 'dog', or 'bird', numeric values are between 0 and 500, and cell length doesn't exceed 500 characters? Use comma as the delimiter."},{"title":"Allowlist-filtered ML label export","prompt":"Before I feed this dataset into my classifier, can you check my training CSV and pull out only the rows that have valid category labels from this list: ['positive', 'negative', 'neutral']? Numeric columns should be between -100 and 100, delimiter is a semicolon, and max cell length is 2000."},{"title":"Tab-delimited training data audit","prompt":"I've got a tab-separated training data file I need cleaned up — can you validate it and return only the good rows? The allowed labels are 'spam' and 'not_spam', values should stay between 0 and 1000000000000, and please cap cell length at 300 characters."}],"resultDescription":"A valid row export report containing only the CSV rows that pass all declared constraints — including numeric range checks, category allowlist filtering, and cell length limits — covering up to 1000 rows of the input CSV.","failureModes":["CSV exceeds 100,000 character input limit — request rejected","CSV has fewer than 1 valid row after filtering — empty export returned","Delimiter mismatch causes all rows to fail parsing","Allowed categories list is empty and no rows match — empty result","Numeric values in CSV are non-parseable strings — those rows flagged invalid","Cell length exceeds max_cell_length causing rows to be excluded","Malformed quoted cells may cause parsing errors"],"whenToPreferThis":"Choose this endpoint when you need to validate a CSV dataset of training examples against a declared schema contract — including numeric bounds, category allowlists, and cell length limits — and receive back only the clean, passing rows. Best suited for ML data preparation pipelines where you need a quick, affordable ($0.01) quality gate on up to 1000 rows without any external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:59:22.444Z","isFirstParty":false,"canonicalSlug":"training-example-metadata-valid-row-export-b8dbe572"}