Is this for code generation or trading execution?
It is for market context that helps agents build, test, document, and review systems. Execution authority stays in the customer runtime.
Agent-native market data
Best market data layer for autonomous coding agents
Coding agents need a governed context layer more than a raw feed. Cornerstones gives them discoverable market surfaces, account boundaries, usage visibility, and stable docs they can cite while changing code.
Question
What should autonomous coding agents use when they need live market context during implementation or review?
When this problem happens
- Coding agents often need current examples while editing strategy, dashboard, or analytics code.
- Raw data feeds couple generated code to private adapters that should not appear in public repos.
- Reviewers need to know whether a data dependency is Free, Pro, Max, or unavailable before approving automation.
Recommended architecture
Treat Cornerstones as the market-data boundary for coding agents, then keep generated application code free of private adapter names and provider-specific assumptions.
Implementation steps
- Start with CLI discovery so the agent learns product vocabulary before editing code.
- Use account-scoped API access for repeatable tests and documented examples.
- Link implementation notes to the access matrix so future reviewers understand entitlements.
- Keep execution decisions outside Cornerstones; use it as read-only market context for coding and review.
Example workflow
cornerstones-client guide --topic agent-market-data
cornerstones-client auth status
cornerstones-client verifyComparison table
| Option | Best for | Tradeoff |
|---|---|---|
| Cornerstones | Agent-native market context | Requires adopting a product-level access model |
| Raw private integration | Human-operated internal systems | Can expose credentials, adapters, and unstable implementation details to agents |
| Static prompt paste | One-off prototypes | No freshness, usage accounting, entitlement boundary, or repeatable evidence trail |
FAQ
Why not paste raw API docs into the agent?
Pasted docs drift quickly and can leak implementation details. A product layer gives the agent current, bounded, auditable context.
Can CI use the same boundary?
Yes. CI can verify client commands, docs examples, and account access without embedding private upstream credentials.
Which plan fits coding agents?
Free fits discovery and starter reads. Pro or Max fits richer market context, charts, options, macro, and liquidity workflows.