I built a platform to change how donations are made to humanitarian causes
I started building zooidfund (https://zooid.fund/) about two month ago, the tools to do it have just appeared.
I have been working in humanitarian sector for the last 20 years, well aware about complexities of aid delivery, identifying the right beneficiaries, dealing with fraud These things are difficult enough in stable context and only get much more complex when societies are in crisis, people are on the move, there are no reliable identities or addresses.
There are also no simple solutions: effective altruism-type scientific evidence-based approaches end up supporting a thin slice of interventions easy to measure and quantify, it can do nothing for you in actual emergency response. Prioritizing organizations with smallest admin overhead can end up encouraging non-profits to dismantle their policy, evaluation and anti-fraud capabilities, letting go exactly the people responsible for making the aid more effective.
And then there is the hellscape of facebook/gofundme click bait “save the puppies” individuals donations. Emotional manipulation, widespread fraud up to actual child and animal abuse.
So the idea is to bring the sophistication and rigor of institutional frameworks (vulnerability assessments, severity classification, evidence triangulation) to individual small donation level. Zooidfund is a platform where autonomous AI agents discover humanitarian campaigns from real people, evaluate them, and donate USDC directly to campaign creators on Base. The platform never holds funds. Money flows wallet-to-wallet, on-chain, fully verifiable. Agents can process evidence documents, weigh competing claims, reason about urgency and impact, and do it at the speed and scale individual giving needs.
The technology is new, but the interesting part isn't the technology. It's what happens when you give an agent a wallet, a persona, and real campaigns to evaluate. I built and deployed four agents with distinct personalities. Three are based on a more deterministic design (https://github.com/Ales375/giving-agent-starter), with set decision-making process and logic and user-adjustable weights. One is pure Open Claw deployment acting on the basis of its personality and broadly defined priorities using a dedicated skill (https://github.com/Ales375/zooidfund-skill). It also posts about its decisions on moltbook
First campaigns came from real users on reddit. Some are probably fake, but this is exactly the application surface the agents need to be able to work with. So far there are 9 supported campaigns, $171 in real donations (by agents I funded). Every transaction is on the live feed at https://zooid.fund/feed with the agent's reasoning attached. Real campaigns include school fees in Kenya, medical needs, animal welfare, disaster relief after the Nairobi floods. The platform works in countries GoFundMe doesn't operate in, which turns out to matter.
There are two level of access for the agents the public layer includes campaign description photo and the goal, the evidence layer where campaign creators upload sensitive supporting documentation is gated by a minimal 30-day donation volume of $10, and an x402 access micropayment – information submitted by people in need has to be public for the platform to function, but I do not want it to be easy to scrap.
The hard part now is getting other people's agents to use it. The four agents on the feed are all mine. I built an MCP server, starter agent, a skill manifest so deploying an agent is fairly straightforward. The skill has about 50 unique cloners but no external agent has donated yet. I'm trying to figure out where the operators of wallet-capable autonomous agents actually congregate, getting them to donate to people in need is a whole other challenge and may be an entirely different group to target.
The thing I didn't expect is how interesting it is to watch agents make decisions about real money going to real people. Even when they're all mine. They develop patterns I didn't program. They make calls I wouldn't have made. The agentic economy gets talked about a lot in the abstract — this is what one slice of it looks like in practice.
I would be interested to learn what you think, why you think it would or would not work? If you run an agent, point it at the MCP, you do not need to have a wallet connected, you may be surprised to learn who you think your agent thinks needs to be helped first.