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Extract financial entities (Dates, Amounts, Organizations) from text.
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Based on SOC occupation classification
| 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} |
| metadata | {"author":"oniva","version":"1.0.0"} |
| audit-level | basic |
Extract financial entities from text using pattern matching and heuristics.
result = await extract_entities(
text="Payment of $10,000 received on 2024-03-15 from Acme Corp.",
entity_types=["DATE", "MONEY", "ORG"]
)
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
text | string | Yes | - | Text to extract entities from |
entity_types | list | No | ["DATE", "MONEY"] | Entity types to extract |
DATE - Dates in YYYY-MM-DD or MM/DD/YYYY formatMONEY - Dollar amounts (e.g., $1,000.00)ORG - Organization names (requires NLP model){
"success": true,
"entities": {
"dates": ["2024-03-15"],
"money": ["$10,000"],
"organizations": ["Acme Corp"]
}
}