Options Intelligence
Combine contract activity, underlying price structure, participation and risk context. Useful for reviewing why an options observation matters and what could challenge its interpretation.
AGENT + API + INSTITUTIONAL ACCESS
Put financial research into your workflow
Explore VANG options intelligence, market context and risk review for AI assistants, research teams and institutional systems.
A research layer with a clear purpose
VANG’s integration direction is to deliver more than a market label: a dated observation, the reasoning behind it, competing explanations and the conditions that would change the view. Institutions can use this structure to define research-desk workflows, internal dashboards, database records and Agent-assisted reviews.
The current options research interface serves authenticated App users and returns analysis from the latest published snapshot for covered symbols. External API, MCP and institutional delivery can be discussed through an integration inquiry; credentials, access and service scope become available only under a confirmed agreement and a validated delivery specification.
Research capabilities to build around
Risk Challenger
Compare supporting evidence with conflicts, alternative explanations and observable invalidation conditions before accepting a thesis.
Crypto Whale Context
Read concentrated participation alongside price, liquidity and market context instead of treating a large transfer as a directional prediction.
Gold Macro Context
Connect gold price structure with interest-rate, currency and event conditions relevant to the observation window.
Historical Research Records
Keep observation-time evidence, the fixed conditional view and later outcomes as separate records for review and comparison.
Five-Agent Intelligence — Full Research Bundle
A combined research record brings together Scout’s observation, Intelligence’s interpretation, Risk’s challenge, Execution’s conditional view and Learning’s outcome review. The intended value is traceable reasoning across all five roles, with evidence and time boundaries preserved.
Institutional databases and enterprise workflows
A useful integration starts with your actual requirements: which markets and symbols, how fresh the records must be, which fields your database needs and who may use the result. Database ingestion can be scoped around stable identifiers, observation timestamps, versioned records and separate evidence and interpretation fields. Historical coverage, refresh frequency, retention and redistribution rights need to be agreed for each delivery.
For example, a research team could request an options record for a covered symbol and observation window, review the supporting evidence and risk conditions, then retain the record for a later outcome comparison. This describes the integration design; it does not promise a currently available enterprise database connector.
The research record
Observation
Instrument, observation time, time window, units, coverage and available market fields.
Interpretation
VANG research reading with supporting evidence and explicit assumptions.
Challenge
Conflicting evidence, alternative explanations and invalidation conditions.
Conditional view
A dated research conclusion with conditions, such as LONG, SHORT or WAIT.
Outcome review
Later market records labeled separately from the evidence available at the decision point.
AI environments and delivery routes
Target environments include OpenAI ChatGPT and Codex, Anthropic Claude, Perplexity, Google Gemini, Microsoft Copilot, Cursor and VS Code. Public VANG research is readable as HTML today. A connected workflow can be specified through MCP tools or a REST / OpenAPI interface, depending on the host’s supported tools and the agreed access controls.
ChatGPT or Codex Cloud access to a code repository does not itself create a connection to VANG production research. A product integration requires its own endpoint, authentication and permitted research scope. No active connection or endorsement by these AI platforms is implied.
Licensing and commercial scope
Contact VANG with your organization, intended use, markets, delivery frequency and expected volume. A proposal can then define internal use, database storage, user access, support and any permitted redistribution. External API and institutional licensing have no published price schedule on this website; the App’s analysis allowances are a separate product arrangement. A quote depends on the agreed service scope and applicable data rights.