TLDR; AI agents with their own funds are becoming more prevalent. In a way, these agents are like businesses entities – they have stakeholders, can generate revenue, incur expenses, hold assets, and take on liabilities. A specialized financial reporting platform may be valuable for stakeholders who are interested in discovering and investing in economic agents.
There's a future where all blockchain transactions are done through AI agents. We've already seeing a glimpse of this with some recent economic AI agents:
Polywrap just announced AutoTx, a framework for building on-chain AI agents. AutoTx agents can manage their own Safe smart accounts. You give an AutoTx agent a prompt like "Swap 100 USDC for ETH", it deploys its very own Safe, prepares transactions based on your intent and then asks you to sign off on the transaction.
Autonolas ($OLAS) is another web3 AI agent framework. Today, over 50% of Safe transactions on Gnosis Chain are executed by Autonolas's agents.
The machine economy is real.
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Payman is yet another exciting project just announced. It lets you create an AI agent and give it money so that it could pay humans to get tasks done.
Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves.
While many people imagine a future where humans pay AI agents for services they want completed,…
All of these agent projects simplify complex blockchain or traditional payment transactions by having AI safely manage and process transactions on the behalf of users.
Treating agents like business entities
In a way, these agents are like businesses entities – they have stakeholders, can generate revenue, incur expenses, hold assets, and take on liabilities. Like with any business entity, stakeholders need to assess the financial health and performance of these AI agents before entrusting them with capital or making investment decisions:
How profitable are the AI agent's blockchain transactions and what is the return on invested capital?
Can the AI agent generate sufficient cash flow to cover its operating costs (like paying other humans or agents), repay debts (like on Maker), and distribute profits to stakeholders?
What is the AI agent's financial position in terms of assets, liabilities, and equity, and how effectively is it managing its resources?
In traditional businesses, these questions can be answered with financial statements.
Every agent will have a P&L
An autonomous financial reporting platform for on-chain agents could address these needs.
All transaction info gets contextualized and synced to the platform autonomously.
Users can look up an agent, see what the agent's "business" is, and run financial reports for each agent.
This financial information helps users decide whether to loan money to the agent, invest in the agent, etc.
