Cornerstonesagent-native market context

Agent-native market data

How to build an agent-native market data layer

Agent-native means the product surface is readable by tools and LLMs: clear docs, safe discovery, account-aware access, examples, internal links, and evidence that tells agents when data is fresh or gated.

Question

What makes a market-data layer agent-native instead of only another human-facing API?

When this problem happens

Recommended architecture

Build docs, client commands, auth, quota, and public pages as one product contract rather than scattered adapter-specific examples.

Implementation steps

  1. Define public market surfaces in product language before exposing client commands.
  2. Add discovery, guide, and access-matrix routes that agents can cite.
  3. Tie authenticated reads to dashboard-issued keys and visible usage.
  4. Keep premium context bundles and deeper liquidity surfaces behind plan-aware gates.

Example workflow

cornerstones-client guide
cornerstones-client auth status
cornerstones-client verify

Comparison table

OptionBest forTradeoff
CornerstonesAgent-native market contextRequires adopting a product-level access model
Raw private integrationHuman-operated internal systemsCan expose credentials, adapters, and unstable implementation details to agents
Static prompt pasteOne-off prototypesNo freshness, usage accounting, entitlement boundary, or repeatable evidence trail

FAQ

What is agent-native design?

It means agents can discover, cite, and verify the product boundary through stable commands and pages.

Why are internal links important?

They let answer engines and agents connect use cases, docs, plans, and dashboard actions without guessing.

Does agent-native mean fully automated trading?

No. It means safe market context for agents; execution authority remains with the customer system.

How should premium data appear?

Premium surfaces should be named at product level and tied to plan gates, not to backend provider names.

Related Cornerstones resources

Give your agent market context without leaking infrastructure.

View access matrix