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Vinkius

Nasdaq Data Link (Quandl) Connector for AI agents.

4 live capabilities

Access professional financial and economic datasets via natural language.

Live agent request Nasdaq Data Link (Quandl) / Connector

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Why people use Nasdaq Data Link (Quandl)

Nasdaq Data Link for Financial Data Analysis

This Connector lets you just ask for the data. Your agent pulls the numbers, handles the filters, and puts it right in front of you. You get clean results instead of a dozen open tabs.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get direct, natural-language access to professional financial data without touching a single line of boilerplate code.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Pulling historical inflation data

    A researcher needs 10 years of inflation data.

  2. Real-world use case 02

    Correlating stock prices with commodities

    An analyst wants to see if a stock's price correlates with a specific commodity.

  3. Real-world use case 03

    Downloading massive alternative datasets

    A data scientist needs a 50GB dataset of alternative data.

Complete set · 4capabilities

The complete Nasdaq Data Link (Quandl) capability set.

These are the exact actions your AI can choose when you ask it to work with Nasdaq Data Link (Quandl).

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through Nasdaq Data Link (Quandl).

  1. 01 Capability

    Get datatable metadata

    Look up the schema, column types, and descriptions for any Nasdaq datatable. Use this to see what filters are available.

  2. 02 Capability

    Request bulk download

    Start a bulk export for a specific datatable and get a status update. This is useful for getting large datasets.

  3. 03 Capability

    Get bulk download file

    Grab a specific file URL once a bulk export has finished processing. Use this to download your final data.

  4. 04 Capability

    Get datatable

    Fetch specific rows from a Nasdaq datatable using filters like ticker or date. This helps you get targeted data.

Set up in minutes

One URL. Then ask Nasdaq Data Link (Quandl) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Nasdaq Data Link (Quandl) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_JetgEjfNYXxZjBKgsK9Eqta1yhwzQLsEOPXl7Hq5/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Nasdaq Data Link (Quandl), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Nasdaq Data Link (Quandl) for the conversation.

Where the request belongs

Work Nasdaq Data Link can move forward.

Built around the request

This is for the financial analyst who's tired of copy-pasting from tables, the data scientist who needs clean economic datasets for a model, and the quant who needs to automate data gathering.

01

Financial Analyst

Pulls historical prices and fundamental data to build reports on a Tuesday afternoon.

02

Data Scientist

Explores dataset schemas and initiates bulk exports to feed into research models.

03

Quantitative Researcher

Automates the retrieval of economic indicators for strategy backtesting and model inputs.

Build the capability set

Add more capabilities.

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Bring your own AI

Change the model, client or framework. Keep Nasdaq Data Link connected.

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Before you connect

Questions about Nasdaq Data Link.

The practical details behind the request, access and result.

How does the Nasdaq Data Link MCP help with stock research?

It lets your AI agent pull historical prices and fundamental data directly into your conversation. You can ask for specific tickers or date ranges without having to navigate a complex web portal.

Can I use this Connector to download large datasets?

Yes, it includes a specific capability for bulk downloads. If a dataset is too large for a standard query, your agent can start a bulk export and notify you when the file is ready.

What kind of data can I get through this Connector?

You can access a wide range of professional data, including economic indicators, stock market prices, and alternative datasets provided by Nasdaq Data Link.

Does the Nasdaq Data Link MCP support different file formats?

Yes, it supports common formats like CSV, Parquet, and ZIP. Once a bulk download is processed, your agent can provide the direct link to the file.

How do I know what filters are available for a specific table?

You can ask your agent to check the metadata for any table. It will tell you which columns are filterable, such as ticker, date, or specific IDs, before you run your query.

Is this Connector good for quantitative research?

It's built for it. It's great for automating the retrieval of economic indicators and fundamental data that quants use as inputs for their models.

How can I filter a datatable for a specific ticker and date range?

Use the get_datatable capability and provide a JSON string in the filters parameter, such as {"ticker": "AAPL", "date.gt": "2023-01-01"}. This allows you to narrow down results precisely.

How do I check which columns are available in a dataset before querying it?

Run the get_datatable_metadata capability with the vendor_code and table_code. It will return the table's schema, including column names, types, and which fields support filtering.

What should I do if the dataset is too large for a standard query?

For very large datasets, use the request_bulk_download capability. This initiates an asynchronous export process. Once the status reaches 'SUCCEEDED', you can use get_bulk_download_file to retrieve the data.

One connection away

Give your agent a direct line to Nasdaq Data Link.

Connect Nasdaq Data Link once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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