extract-entities

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 Entities

Extract financial entities from text using pattern matching and heuristics.

Usage

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 format
• MONEY - Dollar amounts (e.g., $1,000.00)
• ORG - Organization names (requires NLP model)

Response

{
  "success": true,
  "entities": {
    "dates": ["2024-03-15"],
    "money": ["$10,000"],
    "organizations": ["Acme Corp"]
  }
}