Enumero is a decentralized protocol that creates transparent, auditable rankings on both public and private datasets using on‑chain machine‑learning aggregation. It records ranking logic and results on a blockchain ledger, provides cryptographic proof of data provenance, and uses token‑based incentives and governance to ensure fairness and prevent manipulation for platforms that rely on algorithmic datafeeds.
Funding
Funding not disclosed
Founders
Product
Problem
Current algorithmic datafeeds that power rankings and recommendations are typically controlled by centralized entities, making their ownership, governance, and decision criteria opaque. This lack of transparency can lead to biased outcomes, reduced trust, and limited participation from data contributors.
Solution
Enumero provides a decentralized protocol that enables the creation of rankings on both public and private datasets while preserving openness, fairness, and transparency. Data providers can submit feeds to the network, and participants can run machine‑learning models that aggregate and rank the inputs without a single controlling party. The protocol records ranking logic and results on a blockchain‑based ledger, ensuring auditability and immutable provenance. Smart‑contract‑driven incentives reward honest contributions and penalize manipulative behavior, fostering a trustworthy ecosystem for algorithmic decision‑making.
Target Audience
Primary users are platforms and applications that rely on algorithmic rankings—such as DeFi aggregators, content recommendation services, and market analytics tools—that require transparent and tamper‑resistant datafeeds.
Features
- On‑chain ranking engine that aggregates data from multiple sources using decentralized machine‑learning models
- Cryptographic proof of data provenance and ranking calculations for full auditability
- Permissioned access controls allowing private data to be incorporated without exposing raw values
- Incentive mechanisms that token‑reward accurate data contributions and penalize malicious inputs
- Governance framework enabling token holders to propose and vote on ranking algorithms and parameter updates