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CSV Column Count Check
x402
CSV Column Count Check is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Validates every row in a CSV string against an expected column count and returns detailed counts, normalized values, and a versioned validation result.
Price / call$0.001
Success—
StatusUnknown
How this service works
CSV Column Count Check: CSV Column Count Check checks every CSV row against an expected column count from bounded caller-supplied values without an external provider. Call CSV Column Count Check before an agent hands structured data or a batch plan to a downstream tool with a stricter contract. Returns the bounded transformation or validation finding with counts, normalized values, and a versioned result contract for CSV Column Count Check as versioned deterministic JSON. Price: $0.001 USDC via…
Output
Returns a versioned deterministic JSON object containing per-row validation findings, actual column counts per row, expected vs actual mismatches, normalized values, and an overall pass/fail result for the CSV against the expected column count.
Example use cases
Preflight check before database import
“Before I load this CSV into the database, check that every row has exactly 8 columns — here's the data: "id,name,email,phone,city,state,country,zip\n1,Alice,alice@example.com,555-1234,NYC,NY,US,10001\n2,Bob,bob@example.com,555-5678,LA,CA,US"”
Validate agent-generated batch output
“My agent just produced a CSV batch plan with 4 expected columns per row — can you validate this CSV and flag any rows that don't match: "task,priority,owner,deadline\nWrite report,high,Alice,2024-06-01\nReview PR,medium,Bob\nDeploy app,low,Carol,2024-06-03"”
Quality gate for third-party data feed
“I received a CSV from a vendor that's supposed to have 6 columns per row. Run a column count check on it and tell me if anything is off: "sku,name,price,stock,category,warehouse\nA001,Widget,9.99,100,Tools,WH1\nA002,Gadget,14.99,50,Tools\nA003,Doohickey,4.99,200,Parts,WH2"”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/csv-column-count-checkWhen to prefer
Choose this endpoint when you need a lightweight, deterministic, no-side-effect check that every row in a CSV has the correct number of columns before passing structured data to a downstream system with a strict schema contract. It is ideal as a preflight validation step in ETL pipelines, agent batch workflows, or any context where malformed rows would cause downstream failures. Prefer it over manual parsing when you need a versioned, auditable result contract.
Side effects
- CSV text exceeds 8192 character limit — request rejected
- expected_columns not provided or not a positive integer — validation cannot proceed
- malformed input that is not parseable as CSV — may return error or unexpected counts
- empty CSV text — returns zero rows validated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text supplied to CSV Column Count Check; used only for this bounded calculation and processed in memory without retention. |
| expected_columns | integer | Expected Columns supplied to CSV Column Count Check; used only for this bounded calculation and processed in memory without retention. |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"passed": true,
"invalid_rows": [],
"header_columns": 2
},
"schema": "delx/util-csv-column-count-check/v1",
"status": "pass",
"evidence": {
"retained": false,
"input_sha256": "43c14336a55089e6418f34c8148a557706d0aeff75358365faa1dca16fa7cf64",
"external_calls": 0
},
"operation": "data_batch:csv_column_count_check"
}
}Tags
x402
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