version: "1.0.1" name: extract_entities description: Extract financial entities (Dates, Amounts, Organizations) from text.
type: tool category: document
tool: module: app.skills.extract_entities.tool function: extract_entities async: true
mock: true
metadata: author: oniva version: "1.0.0"
audit-level: basic
Extract Entities
Extract financial entities from text using pattern matching and heuristics.
Usage
python
result = await extract_entities(
text="Payment of $10,000 received on 2024-03-15 from Acme Corp.",
entity_types=["DATE", "MONEY", "ORG"]
)
Parameters
| Parameter | Type | Required | Default | Description | |
|---|
text | string | Yes | - | Text to extract entities from | |
entity_types | list | No | ["DATE", "MONEY"] | Entity types to extract | |
Supported Entity Types
DATE - Dates in YYYY-MM-DD or MM/DD/YYYY formatMONEY - Dollar amounts (e.g., $1,000.00)ORG - Organization names (requires NLP model)
Response
json
{
"success": true,
"entities": {
"dates": ["2024-03-15"],
"money": ["$10,000"],
"organizations": ["Acme Corp"]
}
}