Overview
AI Agent for Financial Report Analysis Financial insights. Zero guesswork. Test the AI agent that instantly transforms your data into insights you can trust. What you'll experience Real Time Financial Intelligence Watch AI analyze reports and calls instantly, surfacing key figures and performance trends. Reliable, Data Driven Insights See focused recommendations drawn strictly from your financial data, no assumptions, no noise. Key Metrics Delivered Fast See earnings calls distilled into highlights, with margins and KPIs calculated for quick decisions. Powered by AWS Runs on trusted cloud infrastructure with Amazon Bedrock and SageMaker for secure, enterprise-grade performance. Let AI crunch the numbers. You focus on the strategy.
Highlights
- Real Time Financial Intelligence Watch AI analyze reports and calls instantly, surfacing key figures and performance trends.
- Reliable, Data Driven Insights See focused recommendations drawn strictly from your financial data, no assumptions, no noise.
- Key Metrics Delivered Fast See earnings calls distilled into highlights, with margins and KPIs calculated for quick decisions.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/unit |
---|---|---|
Token | AI Agent - Financial Report Analyst - Free Access | $0.00 |
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No refunds
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Delivery details
- Amazon Bedrock AgentCore - Preview
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
API
Instructions
- You will need Postman installed on your system
- Download the "AWS_API_Based_Company_Financial_Analysis_AIAgent.json” API Collection 3. Import the .json file into Postman as an API Collection 4. You will see 4 API Calls
Using the APIs
A. Authentication: Update the Body with the provided username and password and hit SEND. Once the call is successful it will give you a 200 OK response and generate a TOKEN.
B. Deploy: Select the Deploy Bot API and update the HEADER section. Replace the X-Authorization value with the recently provided TOKEN.
C. Deploy - Input Parameters: Update the Body to pass the input parameters. This AI Agent accepts 2 variables (Both these should be passed in the form of text):
        i) Company Financials: Company's financial data needed.
D. Deploy – Execution: Once the API is executed the response will be 200 OK and will deliver a DeploymentID and the AutomationName.
E. Get Activity: This API will show you the progress and current state of the Agent. When you have long-running processes, this API will allow you to capture the completion %. You must update the HEADER with the TOKEN and pass the DEPLOYMENTID in the Body of the API.
F. Get Job Execution Details: This API will fetch the API response from the AI Agent. You need to pass the TOKEN and the JOBID parameters in the API Call. A string containing the full analysis and response will be provided as part of the API response.
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If you have any questions or face any issues, please reach out to our support team at solutiontestdrive@automationanywhere.comÂ
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.