Powerful Financial LLM API

from fintool.ai import *

# Initialize client
client = FinToolClient(api_key="your_api_key")

# Create request
request = MultiQuestionRequest(
    company=[CompanyCompletion(
        id="AAPL",
        company_name="Apple Inc."
    )],
    periods=[Period(latest=True)],
    questions=[
        Question(text="What are the main revenue drivers?"),
        Question(text="Analyze performance trends")
    ]
)

# Get insights
response = await client.analyze(request)

# Example Response:
{
    "revenue_drivers": "iPhone: 52% of revenue, followed by Services, Mac & Wearables",
    "performance_trends": "Strong growth in Services & Wearables, robust iPhone sales"
}

from fintool.ai import FinToolClient client = FinToolClient(api_key="your_api_key")# Define available functionstools = [{"type": "function","function": {"name": "compare_footnotes","description": "Compare specific footnotes across multiple 10-K filings","parameters": {"type": "object","properties": {"ticker": {"type": "string","description": "Company ticker symbol"},"footnote_topic": {"type": "string","description": "Topic to compare (e.g., Revenue Recognition, Leases)"},"years": {"type": "array","items": {"type": "integer"}}}}]# Analyze changes in revenue recognition policiesresponse = await client.analyze("Compare Tesla's revenue recognition footnotes between 2021-2023", tools=tools )# Example Response:{"function_call": {"name": "compare_footnotes","arguments": {"ticker": "TSLA","footnote_topic": "Revenue Recognition","years": [2021, 2022, 2023]}},"result": {"changes_detected": true,"summary": "2023 introduced new FSD revenue recognition policy. 2022 expanded service revenue details. No material changes in 2021.","risk_level": "medium"}}