{"uid":"cap_ZSCKrxBhJzTfelqqrdWLU","slug":"prediction-result-imports-blank-row-report-687e0529","name":"Prediction Result Imports — Blank Row Report","description":"Prediction result imports — Blank row report: Blank row 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 blank row report report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-predictions-empty-rows?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_f4Pay2ixKOJT0FN2t_Qne","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 of prediction result import data and reports all blank/empty rows within it","exampleAgentPrompt":"Can you check this prediction results CSV for any blank rows? Here's the data with columns prediction_id, predicted_on, model_id, probability, latency_ms — use a comma delimiter and flag any rows that are completely empty.","exampleUseCases":[{"title":"Pre-import data quality check","prompt":"Before I load this batch of model predictions into our database, can you scan the CSV for any blank rows? It uses comma delimiters and has columns prediction_id, predicted_on, model_id, probability, latency_ms — I need to know which rows are empty so I can fix them first."},{"title":"Automated ML pipeline validation","prompt":"As part of our nightly prediction pipeline, run a blank row check on this CSV file of today's model outputs — comma-separated, up to 1000 rows — and tell me if any rows came through empty so we can catch data gaps before they propagate."},{"title":"Data team audit of imported predictions","prompt":"We received a prediction import file from our vendor and I want to verify it has no blank rows before we accept it. Can you validate this CSV with allowed categories group-a and group-b and give me a report of any empty rows?"}],"resultDescription":"A report identifying which rows in the submitted CSV are blank or empty, including row indices or counts of blank rows, enabling the caller to pinpoint data gaps in prediction result imports before further processing.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV is empty or below minimum length — validation error","Invalid delimiter value outside allowed enum (comma, semicolon, tab) — schema error","Cell length exceeds max_cell_length setting — validation error","More than 1000 rows submitted — rows beyond limit may be ignored or rejected","Malformed CSV that cannot be parsed — parse error returned","Allowed categories list exceeds 100 items — schema error"],"whenToPreferThis":"Choose this endpoint when you need to specifically identify blank/empty rows in a CSV file containing machine learning prediction result imports, particularly before ingesting data into a pipeline or database. It is purpose-built for the prediction results domain (columns like prediction_id, model_id, probability, latency_ms) and handles up to 1000 rows with quoted cell support. Prefer this over generic CSV validators when your use case is ML prediction import quality assurance and you need a targeted blank-row report rather than full schema validation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:43.545Z","isFirstParty":false,"canonicalSlug":"prediction-result-imports-blank-row-report-687e0529"}