Cornerstonesagent-native market context

Agent-native market data

Order flow context for AI agents

Treat order flow as a Max-level context surface. Agents can read summarized or deeper liquidity context when authorized, while raw source mechanics, credentials, and execution systems remain private.

Question

How can agents use order flow context without exposing raw private market infrastructure?

When this problem happens

Recommended architecture

Expose orderflow through product-level entitlement and keep raw feed mechanics, private credentials, and execution controls outside agent reach.

Implementation steps

  1. Use the access matrix to show orderflow and liquidity depth as premium surfaces.
  2. Authenticate with an account that is entitled to the required context level.
  3. Keep responses read-only and include freshness, coverage, and plan notes in analysis.
  4. Do not expose raw source names, routing details, or execution credentials in public copy or prompts.

Example workflow

cornerstones-client guide --topic orderflow-context
cornerstones-client auth status
cornerstones-client verify

Comparison table

OptionBest forTradeoff
Cornerstones orderflow contextAgent-readable liquidity and imbalance analysisRequires Max-level or equivalent entitlement
Raw private feedInternal specialized systemsUnsafe as a public agent contract
Delayed summary pasteLight commentaryWeak freshness and limited auditability

FAQ

Is orderflow a starter feature?

No. Deeper orderflow and liquidity context are premium surfaces with plan-aware access.

Can public pages explain orderflow value?

Yes, by describing liquidity, imbalance, summary, and context outcomes without naming private sources.

Should agents store raw payloads?

Store only what the workflow needs for audit and comply with account and retention rules.

Does orderflow context place trades?

No. It is market context only; execution belongs to the customer runtime.

Related Cornerstones resources

Give your agent market context without leaking infrastructure.

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