{"uid":"cap_aeN9gfZBV2KweL5mwpSsr","slug":"evaluation-run-imports-calendar-date-check-29bd4a15","name":"Evaluation Run Imports — Calendar Date Check","description":"Evaluation run imports — Calendar date check: Calendar date check for Evaluation run 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 calendar date check report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-evaluations-dates?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"evaluation_id,evaluated_on,dataset_id,correct_count,example_count\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_vaLaEy6BJX9nIjxcm0Q19","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 calendar date fields in a CSV containing evaluation run import data, checking up to 1000 rows for date correctness","exampleAgentPrompt":"Can you check the dates in my evaluation run CSV for validity? The CSV uses commas as delimiters and I want dates to fall between 2025-01-01 and 2026-12-31 — here's the data: evaluation_id,evaluated_on,dataset_id,correct_count,example_count\\nrecord-a,2026-01-01,group-a,10,2\\nrecord-b,2026-13-99,group-b,20,3","exampleUseCases":[{"title":"Pre-import date audit for ML evaluations","prompt":"Before I load this evaluation run CSV into our pipeline, can you check that all the evaluated_on dates are valid calendar dates and fall between 2024-01-01 and 2025-12-31? The file uses comma delimiters. Here's the CSV content."},{"title":"Catching bad dates in a shared evaluation dataset","prompt":"My team shared an evaluation export CSV with me and I suspect some dates might be malformed or out of range. Can you validate the calendar dates in it — the delimiter is a comma, max date should be 2026-06-30, and allowed dataset categories are group-a and group-b?"},{"title":"QA check before evaluation pipeline ingestion","prompt":"I'm about to ingest this evaluation run import CSV and need a quick calendar date check on it first — dates should be no earlier than 2023-01-01 and no later than 2025-12-31, using comma-separated format. Flag any rows with bad dates."}],"resultDescription":"A calendar date check report for the submitted CSV, indicating which rows contain valid or invalid date values, whether dates fall within the specified minimum/maximum bounds, and a summary of any date-related issues found across up to 1000 rows.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV has zero rows or is empty — validation cannot proceed","Delimiter mismatch causes rows to parse incorrectly, producing false positives","Date column not present or misnamed in headers — no dates to validate","Rows exceed 1000 limit — only first 1000 rows processed","Cell length exceeds max_cell_length setting — cell rejected","Malformed CSV quoting causes parse errors"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) check specifically on calendar date columns within evaluation run import CSVs, especially when you want to catch invalid or out-of-range dates before ingesting data into a pipeline. It is purpose-built for the evaluation run import schema (evaluation_id, evaluated_on, dataset_id, correct_count, example_count) and supports quoted cells, configurable delimiters, date range bounds, and category allowlists — making it more targeted than a general-purpose CSV validator.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T00:59:18.562Z","isFirstParty":false,"canonicalSlug":"evaluation-run-imports-calendar-date-check-29bd4a15"}