Codatta

Codatta is designed as the “knowledge layer” for AI, enabling contributors to transform high-quality, verifiable data into yield-generating digital assets. Unlike traditional AI pipelines where data providers are compensated only once while AI systems earn indefinitely, Codatta offers a radically fairer model — contributors earn continuous royalties as their data powers real-world applications.

The platform introduces a novel role system composed of Knowledge Providers (KPs), Knowledge Verifiers (KVs), and Knowledge Backers (KBs). Providers submit structured knowledge with evidence and reasoning, going far beyond mere annotations. Verifiers, which can be humans or specialized AI agents, ensure the accuracy and trustworthiness of submitted content. KPs can stake tokens to signal confidence in their contributions — if proven inaccurate, they risk slashing. This staking mechanism, co-developed with EigenLayer, adds an economic trust layer to the quality assurance process.

One of Codatta’s most compelling innovations is its approach to royalty-based rewards. Instead of rewarding visibility or access alone, it tracks how individual contributions directly impact AI model performance. This is achieved through on-chain commitment tracking, where all knowledge is timestamped, encrypted, and stored with verifiable attribution. Contributors maintain privacy while their input remains provably linked to AI inferences.

On the infrastructure level, Codatta uses hybrid storage with smart contract access controls, zero-knowledge proofs (ZKPs), fully homomorphic encryption (FHE), and federated learning. This ensures security and data privacy, making Codatta suitable for regulated and enterprise-level applications. Data ownership is fully portable and composable — contributors retain the right to monetize, license, or back datasets across blockchains like Ethereum, Avalanche, and BNB Chain.

Codatta also powers vertical-specific modules such as Crypto Address Annotation, where it has already labeled over 560 million addresses across 35 networks. Through partnerships with initiatives like Microscope Protocol and Crypto Defenders Alliance, it helps drive compliance, market analytics, and risk assessment. Another standout module is the AI Agent Arena, a decentralized evaluation platform where LLMs are benchmarked live based on human feedback — all stored immutably on-chain.

In terms of competition, Codatta aligns closely with emerging decentralized AI protocols like Fetch.ai, and Numeraire, but differentiates itself through a strong emphasis on knowledge royalty, transparent attribution, and hybrid storage architecture.

Codatta provides numerous benefits and features that make it a standout project in the decentralized AI ecosystem:

• Royalty-Based Compensation: Contributors earn ongoing royalties based on how their data impacts real-world AI inferences, not just one-time payments.
• Knowledge Staking and Verification: Submissions can be staked to signal confidence and are verified through expert reviews, consensus voting, or AI validation.
• Encrypted, On-Chain Attribution: Knowledge is committed to blockchain with privacy-preserving techniques, enabling traceability without revealing sensitive data.
• Composable Data Assets: All contributions are bundled into digital assets that are tradeable, stakeable, and capable of generating long-term yield.
• Decentralized AI Evaluation: Codatta's AI Agent Arena benchmarks AI performance in real-time using verifiable, tamper-proof human feedback.
• Hybrid Data Infrastructure: Combines the integrity of on-chain data with the scalability and efficiency of off-chain encrypted storage.
• Domain-Specific Applications: From crypto labeling to robotics and scientific data, Codatta is built to support specialized, high-value datasets.

Codatta offers a seamless onboarding process for domain experts, developers, and data backers looking to contribute to the future of decentralized AI:

• Visit the Platform: Go to the official Codatta website and explore available modules like Crypto Annotations, AI Agent Arena, or Robotics Data.
• Choose a Role: Select whether you want to be a Knowledge Provider, Verifier, or Backer. Each has its own responsibilities and reward mechanisms.
• Connect a Wallet: Use a Web3 wallet like MetaMask to connect and begin contributing securely.
• Start Contributing: Submit structured knowledge, annotate crypto addresses, or participate in robotics training datasets using easy-to-follow workflows and tutorials.
• Stake and Verify: Stake tokens on your contributions or join the verification pool to help assess and validate data quality.
• Earn and Track Royalties: Once approved, your contributions start generating ongoing royalty payments — automatically tracked and distributed on-chain.
• Explore Documentation: Learn about protocols, tools, and roadmap through the official Codatta documentation.