CSV filter equals
csv-filter-equals · version 1.0.0 · CSV & tables · free, no key needed
Keep CSV data rows whose named column equals an exact string.
Use when you need to: csv filter equals · filter csv by column value · csv where column equals.
Supported
- csv filter equals
- filter csv by column value
- csv where column equals
Not supported
- trim
- case fold
- regex
- numeric compare
- read files
Behavior
- Reuse baseline parseCsvDocument / stringifyCsv and CSV limits.
- The first record is the header. Duplicate/empty headers and ragged rows are rejected by the shared parser.
- column must be an exact header name. Unknown column is invalid_input.
- Keep rows where the cell equals value with exact string equality. No trim or coercion.
- Row order is stable. Empty document returns empty csv with zeros. Header-only returns header-only csv.
Input
csv(string, required): max length 256000column(string, required): min length 1; max length 256value(string, required): max length 256000
Output
csv(string, required)rows_in(integer, required)rows_out(integer, required)
Limits
- max input bytes: 256000
- max data rows: 5000
- max columns: 256
- max header name bytes: 256
Example
Request input:
{
"csv": "k,v\na,1\nb,2\na,3\n",
"column": "k",
"value": "a"
}
Response:
{
"result": {
"csv": "k,v\na,1\na,3\n",
"rows_in": 3,
"rows_out": 2
}
}
How to call it
MCP
Connect https://computefirst.net/mcp (setup), then call execute with:
{
"id": "csv-filter-equals",
"version": "1.0.0",
"input": {
"csv": "k,v\na,1\nb,2\na,3\n",
"column": "k",
"value": "a"
}
}
HTTP (no key)
curl -X POST https://computefirst.net/v1/tools/csv-filter-equals/versions/1.0.0/execute \
-H "Content-Type: application/json" \
-d '{"csv":"k,v\na,1\nb,2\na,3\n","column":"k","value":"a"}'
The machine-readable contract is at /v1/tools/csv-filter-equals/versions/1.0.0.
CLI
node cli.mjs run csv-filter-equals 1.0.0 --input input.json --base-url https://computefirst.net
Get the client at /clients/cli/.
Related tools
- CSV abs integer column: Replace every data cell in a named CSV column with the absolute value of a canonical integer.
- CSV scale integer column: Multiply every data cell in a named CSV column by a canonical integer factor.
- CSV split column: Split one CSV column on an exact separator into uniquely named columns.
- CSV clamp integer column: Clamp every data cell in a named CSV column to optional canonical integer min and max bounds.
- CSV dedupe: Remove duplicate CSV data rows while preserving the first occurrence.
- CSV distinct values: List distinct exact values of one CSV column in first-seen order.