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CSV Header Contract Validator for Evaluation Run Imports
x402
CSV Header Contract Validator for Evaluation Run Imports is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Validates a declared CSV table schema contract for evaluation run data, checking headers, data types, and constraints across up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Evaluation run imports — Header contract check: Header contract 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 header contract check report.
Output
Returns a header contract check report detailing whether the CSV's declared headers conform to the expected schema, including any violations such as missing columns, unexpected headers, out-of-range numeric values, oversized cells, or disallowed category values across up to 1000 rows.
Example use cases
Pre-import schema check for ML pipeline
“Before I push this evaluation run CSV into our ML pipeline, can you validate the headers and data contract? It's comma-delimited with columns evaluation_id, evaluated_on, dataset_id, correct_count, example_count — allowed dataset categories are group-a and group-b, and I want to catch any header mismatches or bad values.”
CI validation for evaluation data files
“In our CI workflow, can you run a header contract check on this evaluation CSV to make sure it matches our declared schema? Delimiter is comma, max cell length is 500, and valid categories are group-a, group-b, and group-c.”
Spot-check uploaded evaluation results
“I just got a CSV of evaluation results from a vendor — can you validate that the headers and data follow our contract before I accept it? The expected columns are evaluation_id, evaluated_on, dataset_id, correct_count, example_count and the only allowed categories are group-a and group-b.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-evaluations-schema?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to validate that a CSV file destined for evaluation run imports conforms to a declared header contract before ingestion. It is purpose-built for evaluation run schemas (evaluation_id, evaluated_on, dataset_id, correct_count, example_count) and supports configurable delimiters, numeric bounds, cell length limits, and category allowlists. Prefer this over generic CSV validators when you need domain-specific evaluation run contract checking at low cost ($0.01 per check) with support for quoted cells.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV contains fewer than 1 row — minLength violation
- Delimiter mismatch causes all data to appear in a single column
- More than 100 allowed_categories supplied — exceeds maxItems
- Cell values exceed max_cell_length threshold — flagged as violation
- Malformed CSV (unclosed quotes, encoding issues) — parse error
- Numeric values outside declared minimum/maximum bounds — flagged
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| maximum | number | |
| minimum | number | |
| delimiter | string | |
| max_cell_length | integer | |
| allowed_categories | array |
Tags
x402
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