Agent-native market data

How to let trading agents discover data capabilities safely

Trading agents should discover market data capabilities through a bounded client and docs surface, not by probing private provider adapters.

When this problem happens

Recommended architecture

Expose only product-safe capabilities, then require API keys for higher quota and premium surfaces.

Implementation steps

  1. Install cornerstones-client in the agent workspace.
  2. Let the agent inspect help and docs before asking for data.
  3. Start with trial-safe or low-risk flows.
  4. Create a hosted API key for production reads.
  5. Track usage and upgrade the plan only when workflow demand is proven.

Code example

python -m pip install cornerstones-client
cornerstones-client --help
cornerstones-client trial start
cornerstones-client guide

Comparison table

OptionBest forTradeoff
CornerstonesAgent-native market contextRequires product-specific client adoption
Raw broker/data APIHuman-managed direct integrationsHigher leakage and adapter coupling risk for agents
Generic docs pasteOne-off experimentsHard to govern, measure, or monetize

FAQ

Who is this page for?

This page is for builders using AI coding or trading agents that need market context without exposing private infrastructure.

Does Cornerstones replace every market data provider?

No. Cornerstones is a product and client layer that keeps provider details behind a safer public interface.

Do agents need an API key to start?

Agents can inspect the client and discovery surfaces first. Authenticated reads and higher quota require a hosted API key.

What is the next step?

Install cornerstones-client, read the CLI guide, then move to a trial or API key when the workflow is real.

Give your agent market context without leaking infrastructure.

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