{"uid":"cap_Q8yUMN8iGMyu0HVcyNyK1","slug":"prediction-result-imports-csv-located-error-report-dc7c5a52","name":"Prediction Result Imports — CSV Located Error Report","description":"Prediction result imports — Located error report: Located error report for Prediction result 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 located error report report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-predictions-cell-errors?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"prediction_id,predicted_on,model_id,probability,latency_ms\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_vY32LyHb13P-IGGEeGtjd","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 table of prediction result imports and returns a located error report identifying cell-level issues, supporting up to 1000 rows.","exampleAgentPrompt":"Can you validate this prediction results CSV for me and locate any cell errors? It uses comma delimiters, allowed categories are group-a and group-b, and probability values should be between 0 and 100. Here's the CSV: prediction_id,predicted_on,model_id,probability,latency_ms\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3","exampleUseCases":[{"title":"Validate model prediction batch upload","prompt":"I've got a CSV of prediction results I want to import — can you check it for cell-level errors before I upload it? The file uses comma delimiters, allowed categories are group-a and group-b, and probability should be between 0 and 1."},{"title":"QA check on ML pipeline output CSV","prompt":"Our ML pipeline just exported a predictions CSV with columns for prediction_id, model_id, probability, and latency_ms — can you run a located error report on it to catch any bad cells? Allowed model groups are group-a, group-b, and group-c, values should be between 0 and 100."},{"title":"Pre-import data quality audit","prompt":"Before we import this semicolon-delimited prediction results file into our system, can you scan it for any cell errors and tell me exactly where the problems are? Categories should only be tier-1 or tier-2, and probability values must stay between 0.0 and 1.0."}],"resultDescription":"A located error report that identifies specific cells in the submitted CSV that fail validation, including their position (row/column), the invalid value found, and the nature of the violation (e.g. out-of-range numeric, disallowed category, cell too long). Covers up to 1000 rows with quoted cell support.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows submitted — validation may be truncated or rejected","Invalid delimiter specified — must be comma, semicolon, or tab","Malformed CSV structure — unmatched quotes or inconsistent columns","Empty CSV submitted — minimum length of 1 character required","Cell exceeds max_cell_length limit — flagged as error or rejected"],"whenToPreferThis":"Choose this endpoint when you need cell-level, located error reporting for prediction result CSV imports specifically — it pinpoints exactly which cells are invalid rather than returning a simple pass/fail. Best suited for pre-import QA pipelines where you need to surface actionable row/column error positions. Prefer this over generic CSV validators when your data includes numeric probability bounds, categorical model group constraints, and ML prediction-specific columns.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:23.549Z","isFirstParty":false,"canonicalSlug":"prediction-result-imports-csv-located-error-report-dc7c5a52"}