Text classifier | agent view
The same page content and links, with explicit tool capabilities. Tools marked with an API can run directly through HTTP. Other tools require the browser interface or are not connected yet.
Tool capabilities
{
"id": "text-classifier",
"category": "data-tools",
"built": true,
"requirements": "Categorize supplied text rows using user-defined labels and examples; include uncertain category and editable results; preserve row IDs; do not treat model scores as calibrated probabilities.",
"implementation": {
"fields": [
{
"key": "labels",
"label": "Category labels, separated by commas",
"type": "text",
"value": "positive, negative, neutral"
}
],
"files": false,
"accept": "",
"multiple": false,
"input": true,
"processing": "Server required",
"native": true,
"ai": true,
"maxFileBytes": 20971520,
"note": "Runs with local model weights on this website’s server. No external AI API is used. Review the result for errors. One text item per line. Review uncertain classifications.",
"experience": {
"automatic": false,
"single": false,
"label": "Your text",
"placeholder": "Type or paste your input…",
"help": "Up to 1,000,000 characters. Review the settings before running.",
"action": null
},
"mode": "explicit",
"interactive": false
},
"execution": "POST /api/v1/tools/text-classifier/run",
"api": {
"id": "text-classifier",
"name": "Text classifier",
"category": "data-tools",
"description": "Assign your chosen labels to each line of text.",
"notes": "Runs with local model weights on this website’s server. No external AI API is used. Review the result for errors. One text item per line. Review uncertain classifications.",
"human_path": "/en/data-tools/text-classifier/",
"method": "POST",
"endpoint": "/api/v1/tools/text-classifier/run",
"schema_url": "/api/v1/tools/text-classifier",
"input_schema": {
"type": "object",
"additionalProperties": false,
"properties": {
"input": {
"type": "string",
"maxLength": 1000000,
"default": "",
"description": "Plain text input. File tools use files instead unless otherwise documented."
},
"options": {
"type": "object",
"additionalProperties": false,
"properties": {
"labels": {
"type": "string",
"description": "Category labels, separated by commas",
"default": "positive, negative, neutral"
}
}
}
}
},
"output_schema": {
"type": "object",
"required": [
"tool",
"result"
],
"properties": {
"tool": {
"type": "string"
},
"result": {
"type": "object",
"required": [
"text",
"files"
],
"properties": {
"text": {
"type": [
"string",
"null"
]
},
"data": {
"description": "Parsed JSON when the textual result is JSON."
},
"name": {
"type": "string"
},
"mime": {
"type": "string"
},
"files": {
"type": "array",
"items": {
"type": "object",
"required": [
"name",
"mime",
"bytes",
"base64"
],
"properties": {
"name": {
"type": "string"
},
"mime": {
"type": "string"
},
"bytes": {
"type": "integer"
},
"base64": {
"type": "string",
"contentEncoding": "base64"
}
}
}
}
}
}
}
},
"processing": "Server; self-hosted native engine, no external conversion service",
"limits": {
"request_bytes": 31457280,
"input_characters": 1000000,
"files_bytes": 20971520,
"max_files": 0,
"timeout_seconds": 90
}
},
"agent_processing": "Server; self-hosted native engine, no external conversion service",
"browser_agent": {
"supported": true,
"name": "run_current_tool",
"discovery": "WebMCP on the human page in a supporting browser",
"verification": "See audit/API-AUDIT.md; availability is not verification"
}
}Page guide
Assign your chosen labels to each line of text.
How to use Text classifier
- Enter your text in the input field.
- Review the settings, then choose Run Text classifier.
- Review the result, then use Copy result or a download link when available.
What to expect
Assign your chosen labels to each line of text. Runs with local model weights on this website’s server. No external AI API is used. Review the result for errors. One text item per line. Review uncertain classifications.