Solutions / Quant traders

Bring market research into your own workflow.

Connect stock and options research to notebooks, dashboards and AI assistants. Use structured responses and historical testing to turn a research question into an approach you can inspect and repeat.

Explore API & MCP Compare plans

REST API and MCP access require Vega. The reference and setup guides are public.

REST API · cURL

Your first research request

curl "https://optionomics.ai/api/v1/stocks/SPY/quote" \
  -H "X-USER-EMAIL: [email protected]" \
  -H "X-USER-TOKEN: $OPTIONOMICS_API_KEY"

Transport: HTTPS with structured JSON responses
AI clients: Read-only Model Context Protocol tools
Access: Your credentials and an active Vega plan

Use your account email and set OPTIONOMICS_API_KEY to a key issued by that account.

01

Choose your interface

Call REST endpoints from code or let a compatible assistant request research through MCP.

02

Keep the dates

Use response timestamps and session dates to identify the information behind a reading.

03

Challenge the result

Review test windows, entry assumptions, sample sizes and drawdowns when evaluating an approach.

01 / Connect the research

Use the interface that fits the question.

The public API reference documents endpoints, parameters and response shapes. Request options analytics, aggregated flow, price history, company research or published trade ideas according to the documented coverage.

The MCP server makes research available to compatible AI clients through named, read-only tools. Manage API keys and client configurations in the developer console, and enable request or tool-call logging when you need to inspect usage.

Read the API reference Explore MCP setup

A question connected to its source

“What stands out in this stock’s options activity?”

01Your assistantTurns the question into a tool call

02OptionomicsReturns the available research

03Your answerContext you can investigate

An example MCP workflow. The assistant retrieves available research; you inspect the response.

02 / Test the assumptions

Make the testing window part of the result.

Use historical strategy testing to investigate how a rule behaved across earlier conditions. Examine the trades, costs and drawdowns behind an aggregate figure, and compare the periods that worked with the ones that did not.

Dates matter throughout the workflow: information available after a decision cannot support an earlier entry. Review the data window and execution assumptions before interpreting the result.

Explore backtesting

Keep the test dates and data cutoff in view.

Choose the period you want to test

ArchiveSelected datesData cutoff

An illustration of a selected testing window within the available data archive.

Explore another approach.

All features

Connect your first research workflow.

Explore the endpoints, read the MCP setup guide, and choose Vega when you are ready to integrate.

Explore API & MCP Documentation is open to everyone. Programmatic access requires Vega.