# Introduction

#### What is ContextBridge? <a href="#what-is-contextbridge" id="what-is-contextbridge"></a>

Context Bridge is the infrastructure for bridging data and value across industries, enabling AI, AI Agents systems, applications, and services to operate with real-time context, programmable economic access, and verifiable identity.

As AI systems evolve from single-model tools into autonomous agents, they must interact with external data sources, markets, and dynamic environments. This requires more than model intelligence. It requires access to structured context, the ability to pay for services programmatically, and a way to verify who an agent is and what it is allowed to do.

ContextBridge provides a unified data and value layer that connects these primitives into a single, composable system.

At its core, ContextBridge connects three foundational systems:

* **Real-Time Context through the Model Context Protocol (MCP)**, which exposes machine-readable data and intelligence
* **Payments through x402**, enabling native, usage-based transactions between systems and services
* **Agent identity and registry infrastructure through ERC-8004,** which defines how agents are registered, identified, and evaluated on-chain, supporting verifiable AI agent participation where required

By supporting these protocols together, ContextBridge allows AI and AI agents to move from isolated execution to autonomous participation in open economic systems.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://contextbridge.gitbook.io/context-bridge/welcome/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.