GateCore AI

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About GateCore AI

GateCore AI provides a governed front door for AI agents to transact with controlled access to tools, data, and funds. It enforces a six-step gate sequence—verify identity, score trust, enforce policy, reserve funds, execute actions, and settle with receipts—on every agent request before it reaches backend systems. The platform issues Ed25519-signed agent identities, maintains an append-only ledger of transactions, and generates verifiable receipts for each governed action. It supports per-request pricing with automatic revenue sharing and cross-tenant buying through an MCP-compatible connector. The Operator Console allows teams to set spending limits, write policies, and review held transactions, while the Marketplace enables sellers to publish offerings with explicit terms and trust requirements. Use cases include lead generation for service providers, data licensing for content owners, and procurement automation for enterprise buyers.

Key features

  • Agent identity verification and replay protection
  • Trust scoring based on verified outcomes
  • Policy enforcement with human review for sensitive actions
  • Fund reservation before execution to prevent billing errors
  • Cross-tenant buying and seller-attributed sales tracking
  • Versioned marketplace listings with audited changes
  • Federated transaction monitoring and audit trails
  • Patent-pending governance architecture

Use cases

  • Lead generation for licensed service providers
  • Data licensing and content monetization
  • Procurement automation for enterprise buyers

Pros

  • Ed25519-signed agent identities with full key lifecycle management
  • Append-only ledger with verifiable receipts for every transaction
  • Six-step governance sequence: verify, score, enforce, reserve, execute, settle
  • MCP-compatible connector for integration with existing AI assistants
  • Per-request pricing with automatic revenue sharing

Cons

  • Waitlist-only access during founding cohort formation
  • No public pricing details beyond tier structure
  • Limited to MCP-compatible agents and clients

Frequently asked questions about GateCore AI

What does GateCore AI do?

GateCore AI provides a governed front door for AI agents to transact with controlled access to tools, data, and funds. It enforces a six-step gate sequence—verify identity, score trust, enforce policy, reserve funds, execute actions, and settle with receipts—on every agent request before it reaches backend systems.

Who is GateCore AI designed for?

The platform is designed for teams deploying agents who need to delegate spending while maintaining control, as well as data and tool owners looking to monetize their offerings through a governed front door for AI agents.

How does GateCore AI handle pricing and revenue sharing?

GateCore AI supports per-request pricing with automatic revenue sharing between the platform and sellers. Pricing and revenue splits are explicitly defined and enforced during each transaction.

What integrations does GateCore AI support?

GateCore AI works with any MCP-compatible agent or client, including OpenAI Agents SDK, Claude, and other MCP clients. It also offers SDKs on PyPI for Python-based integrations.

What are the key security features of GateCore AI?

GateCore AI issues Ed25519-signed agent identities, maintains an append-only ledger of transactions, and generates verifiable receipts for each governed action. It also includes replay protection and full key lifecycle management.

How do I get started with GateCore AI?

Prospective users can request a demo through the GateCore AI website to explore how the platform can be integrated into their workflows. Developer access is also available for technical implementation.

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