Agent-native access

AI agents and copilots

Agents do not read documentation; they call tools. TickerLayer ships as an MCP server and as a connector for chat assistants, so "what is gold doing right now" becomes one authenticated call that returns a price and the time it was observed.

Why TickerLayer

Built for this, not adapted to it

  • Tools, not endpoints

    The model picks the tool; nobody writes a prompt that explains a URL.

  • Sign in once

    OAuth consent tied to the user's account, with no keys pasted into a chat.

  • Pay per call

    Agents without a subscription pay per request with x402.

On one key

The calls behind it

MCP
https://mcp.tickerlayer.com/mcp
Auth
x-api-key header, or OAuth for connectors
Pay per call
x402 · one payment per observation
Read
GET /llms-full.txt
Add the hosted MCP server
claude mcp add --transport http tickerlayer https://mcp.tickerlayer.com/mcp \
  --header "x-api-key: YOUR_API_KEY"

# Any MCP client that sends HTTP headers works the same way.

Customer story

The assistant that answers "what is gold doing" with a timestamp

Users connect TickerLayer inside a chat assistant with one consent screen and ask about markets in plain language.

  • 1 screen

    from "connect" to the first answer

  • 0 keys

    pasted into a chat, ever

  • Every answer

    carries the moment the price was observed

Read the full story

Frequently asked questions

Which assistants can connect?

Any client that speaks MCP, and any assistant platform that supports OAuth-based connectors.

Does the agent get real-time data?

Yes. Tool calls run on the same feed as the REST API, with the entitlements of the account that signed in.

How do I keep an agent from burning my quota?

Tool calls count as REST requests against the plan, and the dashboard shows per-key usage the same hour.

Start with 3,000 free requests

No card, no sales call. Build first, pick a plan when it ships.

Other use cases