> For the complete documentation index, see [llms.txt](https://byzantium-ai.gitbook.io/byzantium-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://byzantium-ai.gitbook.io/byzantium-ai-docs/validator/validator.md). # Validator ## For Validators Validators are Byzantium's quality control. They make sure the attention miners deliver is **real** — not bots, spam, or fake engagement — and they score miners so the network rewards genuine work. ### What a validator does * Reads the data on each miner's activity — the real attention they drove. * Filters out bots, spam, and fake engagement. * Scores miners by the **genuine** attention they delivered. * Submits those scores to Bittensor, which turns them into rewards. Honest, accurate scoring is what keeps the market fair — so validators earn ن for doing it well. ### How validation rolls out We're taking validation in two phases, on purpose. **Phase 1 — Internal validation (now).** At launch, Byzantium runs validation itself. This lets us build and tune our spam-and-bot filter against real miner activity, and harden it against real-world attacks — without exposing an immature filter that could be gamed. **Phase 2 — Open participation (later).** Once the filter is robust and proven on real data, we **release the validator software** so anyone can run a validator and help secure the network. ### What's open, and what stays private We'll be straight about this. Byzantium is **transparent where it builds trust, and private where openness would only help attackers.** * **Open and verifiable** — the attention we score is built on **public data**: real engagement on X and Farcaster that anyone can read. The resulting scores are visible too. Validators can independently check that scores track genuine, public activity. * **Private by design** — the exact **anti-fraud method** (how we separate real attention from bots and farming) stays private. A spam filter that publishes its own rulebook is a spam filter that gets gamed. Keeping the method private is what keeps it working — and it protects honest miners from those trying to cheat. As the network matures, more of the system opens up — but that principle holds. ### Why phase it this way A scoring system that can be gamed is worse than no system at all. Getting the filter right first — privately, on real data — protects miners from being mis-scored and protects the integrity of the whole network. Decentralization comes once the foundation is solid. ### Run a validator Open validator participation arrives in Phase 2. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://byzantium-ai.gitbook.io/byzantium-ai-docs/validator/validator.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.