🛡 Institutional Data

Compliant-by-Design
Prediction Market Data

Meridian Edge operates a compliance framework ensuring all published data is derived analytics from regulated prediction market sources. Content passes automated compliance gates before publication.

The only prediction market data API built for institutional use. Anonymized sources. No exchange names. No NDA violations. Computed analytics, not raw data redistribution.

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Anonymization

Data Anonymization

Source data is anonymized at every layer. No exchange names reach your API response.

Sources Are Anonymized

All source markets are represented as Platform A, B, C, etc. in API responses. No market or exchange names appear in any output field.

Computed Aggregates Only

Consensus probabilities are computed values — weighted averages, not raw prices. You receive a derived analytic, not a passthrough of any individual market's data.

Safe for Redistribution

Because outputs are computed analytics rather than raw data, they're designed to be included in your products, dashboards, and downstream APIs.

Regulatory

Regulatory Alignment

  • Data sourced exclusively from CFTC-regulated prediction markets operating under legal frameworks in the United States
  • No speculative terminology used anywhere in the API, documentation, or product
  • Institutional-grade language throughout — all outputs use probability terminology, not traditional probability notation
  • No personally identifiable information collected beyond email for account management
  • All API responses carry explicit "for informational purposes only" context in documentation
  • SOC 2 readiness path planned for Enterprise tier
  • GDPR-compliant data handling with deletion-on-request support
Enterprise

Safe for Enterprise Use

Built around the constraints that institutional data policies impose.

No Raw Data Redistribution

Meridian Edge does not redistribute raw pricing data from any market. All outputs are derived computations that fall outside typical data redistribution restrictions.

Compatible with Data Policies

Designed for use in organizations where direct exchange data access is restricted by policy. Consensus analytics are a separate data category from raw market data.

API Key Scoping

Enterprise API keys support IP whitelisting, per-endpoint scoping, and usage audit logs. Contact us for custom access control arrangements.

Legal Team

For Your Legal Team

This page describes the design intent and data architecture of Meridian Edge. It does not constitute legal advice. Organizations should consult with their legal teams regarding their specific compliance requirements. For questions, contact [email protected]. For informational purposes only. Not investment advice. See Terms, Privacy, Risk Disclosure.
FAQ

Compliance Questions

Does the API expose exchange names or raw prices?
No. All source data is anonymized. No exchange or market names appear in API responses. The platform_details field, when present, uses anonymous platform identifiers. The primary consensus_prob field is a computed aggregate with no source attribution. For informational purposes only.
Can I include this data in a commercial product?
Yes. Consensus probabilities are computed analytics — not raw data passthrough — and are designed for inclusion in commercial applications, dashboards, and downstream APIs. See the Terms of Service for full redistribution terms. Enterprise clients can request custom licensing arrangements at [email protected].
Is this data suitable for financial institutions?
Meridian Edge is designed with institutional constraints in mind: anonymized sources, computed analytics, CFTC-regulated data origins, no speculative terminology, and institutional-grade language. We recommend organizations review the Terms of Service with their legal teams and contact us for enterprise arrangements. This does not constitute legal advice.
Is this investment advice?
No. Meridian Edge data is for informational purposes only and does not constitute investment advice, financial advice, or market recommendations. All data is aggregated from publicly available regulated prediction markets. Participation in prediction markets involves risk of loss. See our Risk Disclosure and Terms of Service.
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