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AVAX $32.11 +1.93%
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In a Market Obsessed With Speed, This Crypto AI Agent Wants You to Slow Down
crypto-trading

In a Market Obsessed With Speed, This Crypto AI Agent Wants You to Slow Down

OpenLedger’s AI crypto agent prioritizes user control and transparency, requiring approval before trading to ensure safer, auditable decisions.

August 5, 2025
5 min read
Decrypt / Jason Nelson

OpenLedger’s AI crypto agent prioritizes user control and transparency, requiring approval before trading to ensure safer, auditable decisions.

In a Market Obsessed With Speed, OpenLedger’s Crypto AI Agent Urges Traders to Slow Down OpenLedger, a San Francisco–based company, is introducing a new crypto AI agent designed to slow down the rapid-fire pace of automated trading. Unlike most crypto bots that execute trades instantly, OpenLedger’s AI agent requires explicit user approval before making any transaction, putting humans back in control. The company argues that speed without context can lead to costly mistakes. Their approach balances fast execution with real-time adaptability and full transparency. Traders set risk limits and review every recommendation before it goes live, ensuring the AI never operates as a black box. “People need to understand why a trade is happening, not just watch their balance change,” said OpenLedger core contributor Kamesh. Once launched, the agent will be integrated within Trust Wallet and communicate in plain English. It will summarize portfolio positions, flag unusual activity, and suggest strategies. Kamesh emphasized that while AI is a powerful tool, it should not replace human decision-making.
“The AI doesn’t need signing authority to be useful. Think of it like a smart co-pilot—you’re still flying the plane.”
Users define parameters such as risk thresholds, network preferences, and data-sharing settings before the agent can act. All prompts and context remain on the user’s device by default, so private keys and transaction histories never leave the phone. To ensure every decision is traceable, OpenLedger employs a Proof of Attribution framework. Each suggested action links back to its data sources and AI model version, allowing users to audit why a trade was recommended. If the data trail is incomplete, the agent will not proceed.
“We prioritize privacy, so nothing is stored in the cloud unless explicitly needed for functionality, and even then, it's anonymized and never linked to your wallet or identity,” Kamesh explained.
The rollout will begin in October with a pilot program inside Trust Wallet for a few hundred users, with wider access planned for early next year. This launch comes amid a surge in AI-powered crypto tools. The sector’s market cap reached $5.7 billion in July, according to CoinGecko, as developers race to integrate AI into DeFi platforms. OpenLedger is not alone in this space. In July, Base, Coinbase’s newly rebranded wallet app, announced an AI feature enabling users to trade and send crypto using natural language prompts. However, the rush to add AI to crypto has raised concerns about "hallucinations"—inaccurate AI outputs that can cause financial losses. In May, Princeton University researchers demonstrated how memory-based manipulation attacks could trick crypto AI agents into approving unauthorized transactions. OpenLedger says its system is designed to resist such exploits.
“You don’t have to trust what the AI says blindly. You can trace the logic, the data behind its decision, and even who contributed that data. If the source can’t be traced, the agent doesn’t act.”

Source: Decrypt

Frequently Asked Questions (FAQ)

Q: What is OpenLedger's new crypto AI agent designed to do? A: The new AI agent from OpenLedger is designed to slow down the rapid pace of automated crypto trading by requiring explicit user approval for every transaction, aiming to prevent costly mistakes due to speed without context. Q: How does OpenLedger's AI agent ensure user control and transparency? A: Users must explicitly approve each transaction. Traders also set risk limits and review every recommendation before it is executed, ensuring the AI does not operate as a "black box." Q: What is the Proof of Attribution framework mentioned in the article? A: The Proof of Attribution framework ensures every decision is traceable by linking suggested actions back to their data sources and AI model versions, allowing users to audit the AI's recommendations. The agent will not proceed if the data trail is incomplete. Q: How does OpenLedger prioritize user privacy? A: By default, all prompts and context remain on the user's device, meaning private keys and transaction histories never leave the phone. Data is only stored in the cloud if explicitly needed for functionality, and in such cases, it is anonymized and never linked to the user's wallet or identity. Q: What are the risks associated with AI-powered crypto tools that OpenLedger's agent aims to mitigate? A: The article mentions concerns about "hallucinations" (inaccurate AI outputs) and manipulation attacks that could trick AI agents into approving unauthorized transactions. OpenLedger's system, with its emphasis on traceable logic and data sources, is designed to resist such exploits.

Crypto Market AI's Take

The approach taken by OpenLedger with its new crypto AI agent aligns with a growing sentiment in the market that prioritizes user control and transparency in automated trading. While the allure of high-speed, fully automated trading is strong, the potential for significant losses due to algorithmic errors or unforeseen market conditions is a valid concern. By embedding a human-in-the-loop mechanism, OpenLedger is catering to traders who value understanding the rationale behind trades and maintaining ultimate oversight. This model could be particularly appealing to a segment of the market wary of the "black box" nature of some AI trading tools. Our own platform emphasizes AI-driven trading strategies that also aim for a balance between advanced analytics and user-defined parameters, acknowledging that while AI can offer powerful insights, human judgment remains a critical component in navigating the complexities of the crypto market.

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