Nasdaq Data Link AI Integration
Nasdaq Data Link AI agents use financial market data as context, with Bonfire running on your own machine. These agents reference your datasets to inform the AI rather than acting as its trading backend, keeping analysis and credentials on-device and under your control.
What Bonfire can do in Nasdaq Data Link
Real actions from the Nasdaq Data Link API that a Bonfire agent can run on your behalf, on-device.
| Action | Resource | Method · Endpoint |
|---|---|---|
| Get time-series data | Datasets | GET /api/v3/datasets/{database_code}/{dataset_code}/data.json |
| Get dataset metadata | Datasets | GET /api/v3/datasets/{database_code}/{dataset_code}/metadata.json |
| Get data and metadata | Datasets | GET /api/v3/datasets/{database_code}/{dataset_code}.json |
| Search datasets | Datasets | GET /api/v3/datasets.json |
| Get table data | Datatables | GET /api/v3/datatables/{database_code}/{datatable_code}.json |
| Get database metadata | Databases | GET /api/v3/databases/{database_code}.json |
Nasdaq Data Link agents in action
On your machine, not a SaaS
Bonfire Terminal
- Your keys & data stay on your device
- Perpetual license — no per-seat SaaS fee
- Any connected model — Claude, GPT, Gemini or Grok
- Offline Llama for local, private reasoning
- Driven from chat you already use
Cloud AI middleman
- Keys & data pass through a third-party server
- Recurring subscription, usage caps
- Model locked to the vendor
- Yet another dashboard to log into
Nasdaq Data Link — questions
Can Bonfire automate Nasdaq Data Link?
Yes. Bonfire runs on your machine, holds your Nasdaq Data Link credentials locally, and a connected model (Claude, GPT, Gemini or Grok) drives the Nasdaq Data Link API to run the actions you ask for in chat.
Does my Nasdaq Data Link data go to the cloud?
Bonfire runs on your desktop and keeps your keys local — it isn't a SaaS holding your data. Only the specific request you approve is sent to your chosen AI model.
Which AI models can I use?
Any connected model — Claude, GPT, Gemini or Grok. A fully offline Llama model runs locally for private reasoning but can't reach live APIs.