> For the complete documentation index, see [llms.txt](https://whitepaper.gopluslabs.io/goplus-network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.gopluslabs.io/goplus-network/ecosystem-and-token/ecosystem.md).

# GoPlus Ecosystem

GoPlus has built one of the broadest security ecosystems in Web3 and is extending that distribution into the AI era. The ecosystem is not limited to a single product or chain. It spans supported networks, wallets, exchanges, DeFi protocols, launchpads, trading tools, data platforms, RPC providers, infrastructure partners, security companies, browser products, payment providers, NFT platforms, and other ecosystem participants.

<figure><img src="/files/7NXeTXrM8fHbMz7td3Ml" alt=""><figcaption><p>GoPlus Security Ecosystem Landscape</p></figcaption></figure>

## User Adoption and Security Scale

GoPlus' ecosystem is supported by large-scale real-world usage. Its security intelligence is called directly by wallets, dApps, infrastructure providers, analytics platforms, trading products, and other partners that need real-time risk signals.

Key usage and coverage indicators include:

* **Token API daily request volume:** 40M+ requests per day.
* **Detected token and currency coverage across public chains:** 20M+ token records across supported public chains.

These metrics demonstrate that GoPlus is not only building security products, but also operating a high-throughput risk intelligence layer used by a broad network of Web3 applications and infrastructure partners. This usage foundation is important for the AI era because large-scale AI agents will require the same real-time security signals when they analyze tokens, interact with dApps, prepare transactions, and execute on-chain actions.

## Multi-Chain Security Coverage

GoPlus Security Intelligence supports a wide range of blockchain networks, including major ecosystems such as Ethereum, Solana, BNB Chain, Sui, Optimism, Polygon, Fantom, zkSync Era, Arbitrum, Avalanche, Base, Tron, Scroll, Manta, Merlin Chain, Berachain, Mantle, Zircuit, Bitlayer, Linea, and more.

This multi-chain coverage is a core advantage of GoPlus. Users and developers increasingly operate across many networks, while AI agents will also need to evaluate, route, and execute actions across multiple chains. GoPlus provides the security data, transaction analysis, malicious address intelligence, token risk analysis, and phishing detection needed to protect these cross-chain workflows.

## Customers and Integration Channels

GoPlus security capabilities are used across many categories of Web3 products and services:

* **Wallets:** Wallet integrations bring GoPlus transaction protection, wallet scanning, token risk alerts, and phishing detection directly into user workflows.
* **Exchanges:** Centralized exchanges and trading platforms can use GoPlus intelligence for token screening, risk monitoring, and user protection.
* **DeFi protocols:** DeFi integrations help users detect risky tokens, malicious approvals, unsafe contracts, and transaction-level threats.
* **Launchpads:** Launchpad partners can use DeepScan, token risk intelligence, and SafeToken-related workflows to improve token launch security.
* **Trading tools:** Trading products can use GoPlus data to surface token risk, malicious address signals, liquidity risks, and dApp risk context.
* **Data and analytics platforms:** Market data and analytics partners can enrich asset pages, token dashboards, and risk reports with GoPlus security intelligence.
* **RPC and infrastructure providers:** Infrastructure partners can embed transaction risk analysis and security signals closer to execution.
* **Security companies:** Security partners contribute complementary intelligence, detection methods, and ecosystem coverage.

## Partnership Network

GoPlus' ecosystem includes partnerships and integrations across many layers of Web3. This gives GoPlus a strong distribution network for security intelligence and a large feedback loop for emerging threats.

The ecosystem covers:

* Supported blockchain networks and rollup ecosystems.
* Wallets and browser-based user security products.
* CEX and trading venues.
* DeFi, launchpad, trading, and token lifecycle platforms.
* Data, analytics, storage, RPC, and RaaS providers.
* Security companies and research teams.
* NFT, payment, browser, and other ecosystem products.

This broad partner network matters because security becomes more effective when it is embedded close to where users and agents act. GoPlus can distribute protection through the products users already use, while also bringing risk intelligence into the systems that AI agents will increasingly operate.

## From Web3 Ecosystem to AI Agent Security Distribution

The existing GoPlus ecosystem gives the company a strong foundation for AI agent security. As AI agents begin to manage wallets, analyze tokens, interact with dApps, deploy contracts, and execute transactions, they will need access to the same security intelligence and protection layer that GoPlus already provides across Web3.

AgentGuard extends this ecosystem from human-driven Web3 actions to agent-driven actions. DeepScan extends token security from real-time risk detection into AI-powered audit. GoPlus Intelligence connects these products through a shared risk engine. Together, the ecosystem allows GoPlus to protect both users and agents across the full lifecycle of digital execution.

## Conclusion

GoPlus' ecosystem demonstrates that security is not a standalone feature. It is a distribution layer across chains, wallets, applications, exchanges, infrastructure, security partners, and users. This broad coverage strengthens GoPlus' position as the security layer for the AI era and provides the foundation for serving large-scale AI agents, Web3 users, and high-risk digital actions before execution.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://whitepaper.gopluslabs.io/goplus-network/ecosystem-and-token/ecosystem.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.
