Cornerstonesagent-native market context

Agent-native market data

Market data for Claude Code agents

Give Claude Code no-key discovery first, then a revocable Cornerstones account key only when the task needs repeatable authenticated reads. Keep private providers and execution systems outside the coding workspace.

Question

What is the safest way to give Claude Code market data while it edits trading or analytics code?

When this problem happens

Recommended architecture

Claude Code should consume Cornerstones as a public product contract and never depend on hidden market-data adapters.

Implementation steps

  1. Let Claude Code run the guide command and inspect the access matrix before making edits.
  2. Scope any key to product-level market reads and store it outside source-controlled files.
  3. Ask the agent to include the command it used in its implementation handoff.
  4. Run tests that prove public copy remains provider-safe after the code change.

Example workflow

python -m pip install cornerstones-client
cornerstones-client guide
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

Can Claude Code start without login?

Yes. Discovery commands can orient it before account credentials are supplied.

What should be in CLAUDE.md?

Point Claude Code to Cornerstones client commands, docs links, and the rule that upstream secrets stay private.

How do reviewers know it stayed safe?

Tests and diffs should show only product-level terms and no private source names.

When should it use paid access?

When the task requires premium context such as charts, options, macro, orderflow, or liquidity depth.

Related Cornerstones resources

Give your agent market context without leaking infrastructure.

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