PREVIEW · Proposed endpoints and dated plan snapshot · Not ready for public launch
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AI market assistants

Give market questions
a data-backed starting point.

Connect a compatible AI client to market data tools so an answer can include a resolved instrument, retrieved values and the time those values describe.

Concept MCP workflow connecting an AI client to financial data tools and an evidence matrix of instrument, observation and market-time fields.
Question → tools → evidenceConcept illustration · no live data

Integration blueprint · not a live application. Neutral endpoints and account access still require validation.

The experience you can build

Three pieces.
One useful workspace.

Developer assistants, research copilots and internal market briefing tools.

01

Retrieve before explaining

A data-tool result supplies the evidence for an answer.

02

Start with one question

Authorize a compatible client and discover its actual tools.

03

Make uncertainty visible

Report missing or delayed data instead of inventing a value.

Your implementation path

From first connection
to a useful result.

Follow the flow. Open a step for implementation details.

  1. 01

    Authorize the client

    Use hosted authorization or a purpose-specific MCP JWT.

    POST /api/mcp/generate
    Implementation notes

    Use the supported hosted authorization flow or a purpose-specific MCP JWT. Keep the long-lived account API key out of the client’s shared configuration.

  2. 02

    Discover and call a tool

    Choose a tool from the server’s actual tool list.

    MCP tool discovery → tool call
    Implementation notes

    Resolve the intended symbol and inspect the server’s current tool list. Neutral tool aliases and client compatibility remain part of the new-endpoint validation.

  3. 03

    Return evidence with the answer

    Keep observations separate from interpretation.

    Structured result + grounded explanation
    Implementation notes

    Keep the successful tool result and its timestamps. Ask the model to distinguish observations, calculations and interpretation.

Your first useful result

Try one small build.

  1. 01Authorize the client and discover its tools.
  2. 02Return one quote with currency and market time.
  3. 03Test an unavailable symbol and report the failure.
Then choose your access

MCP access, token lifetime and allowance units come first.

Plan requirements

Choose a plan with MCP access and check token lifetime and allowance units. In the dated snapshot, Pro does not include MCP. Confirm the supported client and exact tools before paying for an ongoing workload.

Data & usage boundaries

MCP availability does not guarantee answer accuracy. Review model output and the underlying data, handle credential expiration, and confirm which clients and tools work with the neutral endpoint.

Compare plans by workload
Before you build

A few practical answers.

Does MCP replace a market data stream?

No. The MCP session transport carries client and tool messages. Use WebSocket or market-data SSE for an application that needs continuously pushed quote updates.

Are all AI clients supported?

Client configuration and authorization support differ. New-endpoint compatibility is pending validation; test authorization, discovery and one actual data-tool call with the client you intend to use.

Give your idea its first data connection.

Create or reuse your account, check the required access, and build one useful result before expanding.

Get API Key

Continue to our shared account console.