{"uid":"cap_vnnVnzj3cGoDRj_23y55K","slug":"training-example-metadata-csv-import-audit-c95d626a","name":"Training Example Metadata CSV Import Audit","description":"Training example metadata — Complete import audit: Complete import audit 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 complete import audit report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-training-data-audit?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_RK7QcNp8xhfhahC3FHnhg","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 representing training example metadata against a declared table contract, checking up to 1000 rows for structural and content conformance.","exampleAgentPrompt":"Can you audit my training data CSV to make sure all the label values are either 'group-a' or 'group-b', the delimiter is a comma, and no cell exceeds 500 characters? Here's the CSV content: 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","exampleUseCases":[{"title":"ML dataset label compliance check","prompt":"I have a CSV of training examples and I need to make sure every value in the 'label' column is one of 'cat', 'dog', or 'bird' — can you run a complete import audit on it using comma as the delimiter and flag any rows that violate that?"},{"title":"Training data cell length enforcement","prompt":"Before I load this training CSV into my pipeline, can you audit it to confirm no individual cell exceeds 200 characters and all numeric values are between 0 and 1000? The file uses a comma delimiter."},{"title":"Tab-delimited training file validation","prompt":"My training dataset is tab-separated and I need a full import audit — please validate it against allowed categories 'positive' and 'negative', with a max cell length of 300, and let me know if anything fails the contract."}],"resultDescription":"Returns a complete import audit report detailing whether the CSV conforms to the declared contract, including row-level findings, category violations, numeric range breaches, cell length failures, and an overall pass/fail status for up to 1000 rows.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV contains fewer than 1 character — empty input error","Delimiter not one of comma, semicolon, or tab — validation error","Rows exceed 1000 — only first 1000 may be audited","max_cell_length outside 1–5000 range — parameter error","allowed_categories list exceeds 100 items — parameter error","Malformed JSON body — parse error"],"whenToPreferThis":"Choose this endpoint when you need to validate a CSV file of training examples against a strict declared schema contract before ingesting into an ML pipeline, particularly when you need to enforce allowed categorical label values, numeric range bounds, and per-cell length limits. It is purpose-built for training data metadata CSVs (with fields like example_id, label, sample_weight) and provides a structured audit report rather than simple parsing. Prefer this over generic CSV validators when label conformance and ML-domain constraints are primary concerns.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:58:24.022Z","isFirstParty":false,"canonicalSlug":"training-example-metadata-csv-import-audit-c95d626a"}