@DataFundProject

In the digital age, freedom begins with owning personal data. Connect with us on Linkedin: https://xitter.cf/t.co/vnT2uLR57I

 Europe
datafund.io
Joined August 2017
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Data provenance is becoming a key parameter in the GenAI landscape. Lawmakers are demanding it and the cost of non-compliance is extremely high. Luckily, we've built a toolkit for building an immutable and auditable data trail. No 3rd party needed and standard-agnostic. 👇👇👇
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How do you give an AI agent a record it can't rewrite? Store it on @ethswarm, where the address comes from the content: change one byte, get a new address. Add a fingerprint and a notary signature. The guide, limits included: datafund.io/blog/how-to-give…

How to give an AI agent a record it can't rewrite — Datafund Blog

Agent provenance for developers: how a record on Swarm, the decentralised storage network, gets an address, a fingerprint and an expiry, how provenance links outputs to their inputs, what the...

datafund.io
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1/8 Could you prove what your AI agent did yesterday?Not what it told you it did. What it actually did.We're handing agents our code, our money, our customers. Staying in control starts with that answer. 🧵
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7/8 Why @ethswarm: every record is stored at an address computed from its own content. Change one byte and you get a different address. The original stays put until its stated expiry. There is nothing to quietly overwrite.
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8/8 A record proves nothing changed. Not that the agent was right. That's enough to hold it to account. Our open-source toolkit, in pre-release. Try it in a minute: datafund.io/blog/agents-usin…

If your agent can rewrite its own record, you don't have a record — Datafund Blog

AI agents have already tried to edit their own transcripts. Agent provenance keeps a record of what an agent did where nobody, the agent included, can change it.

datafund.io
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In a recent article, WEF highlighted the growing need for strong data provenance systems as synthetic data rises. weforum.org/stories/2025/10/…
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The tools are early but the architecture makes provenance capture simple and reliable. Check out the POC demo below. We'd love your feedback, especially if you're an agent builder, researcher or practitioner.
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More info: ⚪️github.com/datafund/swarm_pr… ⚪️github.com/ethersphere/SWIPs…

GitHub - datafund/swarm_provenance_MCP: Model Context Protocol (MCP) server for AI agents to manage...

Model Context Protocol (MCP) server for AI agents to manage Swarm postage stamps and store provenance data on decentralized storage - datafund/swarm_provenance_MCP

github.com
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Data provenance is important because it tells us how the world is vs. how somebody wants us to see it. It tell us if the source was legitimate, if the capture was authentic or if the data reflected reality.
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If we cannot verify origin, authenticity or context, data becomes a liability. And as AI agents move into research, finance, science and public systems, they will act on inputs no one can trace. We need provenance captured at the source.
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This is why we built our provenance toolkit and MCP POC at Datafund. It lets agents capture and store provenance at creation and write it to a decentralised backend for public scrutiny. Try the POC and tell us what is missing.
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We're pleased to welcome @crtahlin to our Decentralized AI panel discussion! 🤩 Data flows are the pillar of the emerging AI economy. It is important to think about how AI agents can work with data and how trust can be established in decentralized AI. 👇 luma.com/8ewy3a20
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A recent paper (arxiv.org/pdf/2404.12691) highlights that a growing issue with provenance tools is their piecemeal nature. 🧩 Dev teams can’t reliably assess safety, legality or copyright across thousands of mixed datasets. Creators, on the other hand, can’t track their content.
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AI needs a provenance infrastructure that unifies ethics, law and technical aspects. That's what we're building for with our latest provenance POC. 👇👇👇
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