Nasdaq Data Link is a comprehensive financial data platform providing access to market data, economic indicators, and alternative datasets.
Enhance your financial data capabilities with AI agents that can automatically analyze trends, generate insights, and take action based on market conditions.
Nasdaq Data Link delivers extensive market data and financial insights through its powerful API. Relevance AI transforms this data into intelligent action with AI agents that can analyze, predict, and respond to market conditions in real-time.
Real-Time Insight Generation
The agent can instantly analyze market data to provide timely insights.
Predictive Analytics Mastery
Utilizes advanced algorithms to forecast market trends and risks.
Enhanced Decision Support
Delivers actionable recommendations based on accurate and current data.
Relevance AI gives you access to Nasdaq Data Link's comprehensive financial data capabilities within your AI agent workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Nasdaq Data Link account
- A Relevance AI account with API access enabled
- Authorization credentials (API key and OAuth tokens for secure connection)
Security & Reliability
The integration leverages secure OAuth authentication to access Nasdaq Data Link time series and table data safely. Relevance AI manages API operations seamlessly, handling data formatting, rate limits, and authentication tokens automatically.
Built-in data validation ensures consistent processing of financial time series, market data, and economic indicators across your workflows.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Nasdaq Data Link + Relevance AI integration without writing code:
- Use proper API endpoints: Ensure you're accessing the correct time series or table data paths.
- Optimize data requests: Specify date ranges and parameters to retrieve only necessary data.
- Handle authentication: Keep OAuth credentials secure and up-to-date for uninterrupted access.
- Monitor rate limits: Space out requests appropriately to avoid hitting API quotas.
- Validate responses: Check status codes and response formats before processing data.
