Cornerstonesagent-native market context

Agent-native market data

Market data for OpenClaw workflows

Use Cornerstones for market context, evidence, access boundaries, and docs. Keep trading decisions, risk controls, order routing, and private runtime state inside the OpenClaw deployment.

Question

How should OpenClaw-style agent workflows separate market context from execution authority?

When this problem happens

Recommended architecture

Make Cornerstones the read-only context plane and keep OpenClaw execution boundaries explicit and private.

Implementation steps

  1. Fetch only read-only context through Cornerstones during research or review tasks.
  2. Keep live order routing, sizing, and account controls in the private trading runtime.
  3. Use plan names to decide whether charts, options, macro, orderflow, or liquidity context is available.
  4. Log the context source and freshness in handoff notes before any strategy decision proceeds.

Example workflow

cornerstones-client verify
# use returned context in analysis; keep execution in OpenClaw runtime

Comparison table

OptionBest forTradeoff
Cornerstones contextRead-only agent research and reviewDoes not execute trades
Private trading runtimeRisk, sizing, account state, and order placementNot suitable for public agent onboarding
Manual analyst pasteEmergency one-off notesWeak freshness and audit trail

FAQ

Does Cornerstones replace OpenClaw?

No. Cornerstones supplies market context; OpenClaw-like runtimes own strategy and execution.

Why mention OpenClaw publicly?

The page addresses a workflow pattern: multi-agent trading systems that need safe read-only data.

What should stay private?

Account credentials, runtime topology, execution adapters, risk thresholds, and live operational logs.

Which plan fits richer context?

Pro and Max unlock deeper context such as charts, options, macro, orderflow, and liquidity surfaces.

Related Cornerstones resources

Give your agent market context without leaking infrastructure.

Compare plans