From Data to Trading: How Pundi AI Empowers BasePerp's AI-Driven Perpetual Contracts

Pundi AI announces a partnership with the perpetual contract trading protocol BasePerp on the Base chain, exploring how decentralized verifiable data can support AI-driven trading and analysis. This is not an isolated move by Pundi AI but another piece in its ecosystem map as a provider of on-chain data infrastructure. On the same day, Pundi AI also announced a collaboration with OptimAI Network to promote autonomous AI agent development. The common goal of these two collaborations is clear: high-quality, verifiable on-chain data is becoming a key infrastructure for AI financial applications.

The core of Pundi AI and BasePerp collaboration

According to the latest news, the main contents of this cooperation include:

• Pundi AI’s decentralized data infrastructure provides data sets and AI signal support for the BasePerp ecosystem
• Covering multiple dimensions such as trading strategies, market analysis, and risk insights
• Enhancing transparency and trust in AI-driven DeFi applications through auditable, publicly accessible data
• Both parties will explore integration plans, ecosystem initiatives, and community activities to support developers building AI-driven products on Base

This means that traders and strategy developers in the BasePerp ecosystem will in the future have access to verifiable on-chain data support from Pundi AI. For trading products like perpetual contracts that require extremely high data quality, this cooperation is especially critical.

Why verifiable data

The core value emphasized by Pundi AI is “verifiability.” In traditional finance, data black boxes have always been an issue. While on-chain finance is transparent, data quality and source credibility still need to be addressed.

Pundi AI’s solution is to transform data into on-chain intellectual property, ensuring that data is auditable and openly accessible. This has significant implications for AI applications:

• AI model training requires high-quality data; verifiability ensures data source credibility
• Trading strategies need a transparent data foundation to avoid being misled by “black box data”
• Risk management requires traceable data links, facilitating post-transaction audits and accountability

From related information, Pundi AI also emphasizes this point in its collaboration with OptimAI Network, providing on-chain data provenance, community annotation, and transparent data ownership support for AI agents. This indicates that Pundi AI is building a unified data verification system that spans different AI application scenarios.

New experiments in AI finance within the Base ecosystem

The choice of BasePerp to collaborate with Pundi AI reflects the Base ecosystem’s emphasis on AI-driven DeFi. As a Layer 2 chain supported by Coinbase, Base is actively attracting DeFi and AI projects.

Potential impacts of this collaboration include:

• More AI-based trading tools and risk management solutions emerging in the perpetual trading market
• Developers can build more trustworthy AI trading strategies based on verifiable data
• Liquidity and user activity in the BasePerp ecosystem may increase due to better data support

From a broader perspective, improving AI data infrastructure is a sign of mature on-chain finance. Pundi AI’s role in this process is becoming clearer: not creating trading products, but providing the underlying data support for AI applications.

Summary

The collaboration between Pundi AI and BasePerp reflects a clear trend: high-quality, verifiable on-chain data is shifting from a “nice-to-have” to an “essential.” For high-risk trading products like perpetual contracts, AI-driven decisions require trustworthy data support.

Looking at Pundi AI’s simultaneous cooperation with OptimAI Network, its core strategy is to become a data infrastructure provider for Web3 AI applications. The advantage of this positioning is strong ecosystem adaptability, allowing cross-application scenarios. Future focus will be on how Pundi AI translates these collaborations into actual product value and what verifiable data-based AI trading tools will emerge within the Base ecosystem.