Finance Monitoring Agent avatar
Finance Monitoring Agent

Pricing

Pay per event

Go to Store
Finance Monitoring Agent

Finance Monitoring Agent

Developed by

Jakub Kopecký

Jakub Kopecký

Maintained by Community

The Finance Monitoring AI Agent 📊💹 analyzes specific tickers, gathering, and processing data to generate insightful reports 📈📉. Designed for investors and analysts, this agent provides detailed performance analysis and trends. The agent is built using LangGraph and Python.

0.0 (0)

Pricing

Pay per event

0

Total users

14

Monthly users

6

Runs succeeded

>99%

Last modified

a month ago

You can access the Finance Monitoring Agent programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "ticker": "TSLA",
10 "model": "gpt-4o-mini",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("jakub.kopecky/finance-monitoring-agent").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Finance Monitoring Agent API in Python

The Apify API client for Python is the official library that allows you to use Finance Monitoring Agent API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: