Creator Score

Creator Scores are derived exclusively from immutable on-chain data, including transaction history, token holdings, governance participation, and protocol interactions. This ensures the metric is verifiable, transparent, and resistant to manipulation, as all inputs are publicly auditable on the blockchain ledger.

The score synthesizes multiple behavioral and financial dimensions into a single metric. Key factors often include:

• Financial Stake: Value and duration of assets held or staked.
• Governance Activity: Participation in votes and proposals.
• Content/Project Genesis: Creation and maintenance of assets like NFTs or smart contracts.
• Social Graph: Network size and quality of connections within the ecosystem.

Unlike a static credit score, a Creator Score is continuously updated in near real-time to reflect new on-chain activity. It can also be context-specific, meaning a creator might have different scores for DeFi, NFT, or governance contexts within the same protocol, based on the relevant subset of their activity.

The score is designed as a programmable primitive that other smart contracts can query and act upon. This enables automated, trustless applications such as:

• Under-collateralized lending: Using reputation as a factor in loan terms.
• Sybil-resistant airdrops: Weighting distributions based on proven contribution.
• Access gating: Granting privileges to high-score holders for exclusive features.

As an on-chain asset, a Creator Score is composable—it can be integrated into any dApp that reads its contract. It also aims for portability; while early scores are protocol-specific, the vision is for interoperable reputation that can be recognized across different applications and blockchain networks, reducing fragmentation.

Advanced implementations use zero-knowledge proofs (ZKPs) or similar cryptographic techniques. This allows a user to prove they have a score above a certain threshold or belong to a percentile without revealing their exact score or underlying wallet address, balancing transparency with user privacy.

Measures the authenticity and activity of a creator's follower base, not just its size. Key signals include:

• Follower-to-engagement ratios to identify inauthentic growth.
• Engagement velocity (likes, replies, retweets) relative to follower count.
• Audience overlap analysis with known bot networks or sybil clusters.
• Holder concentration for token-gated communities.

Evaluates the regularity and uniqueness of a creator's output. Algorithms track:

• Posting frequency and cadence over extended periods (e.g., 90 days).
• Plagiarism detection across text and media to score originality.
• Topic modeling to assess niche authority versus generic content.
• Cross-platform presence verification to establish a consistent identity.

Quantifies the direct financial activity generated or facilitated by the creator. This includes:

• Total trading volume in associated tokens or NFTs.
• Protocol fee generation from referred users or content.
• Liquidity provided in creator-affiliated pools.
• Secondary market royalties earned from NFT collections.

Assesses the structure and participation within a creator's decentralized community. Metrics involve:

• Proposal participation rates in associated DAOs or governance forums.
• Voter decentralization (Gini coefficient) of governance tokens.
• Forum activity levels (posts, comments) from unique addresses.
• Treasury management metrics for community-controlled funds.

Leverages blockchain's immutable history to establish trust. This analyzes:

• Wallet age and transaction history as a proxy for experience.
• Sybil graph analysis to detect coordinated fake accounts.
• Soulbound Token (SBT) attestations from credible entities.
• Participation in proof-of-personhood protocols like Worldcoin.

Creates a holistic profile by correlating data across web2 and web3 platforms. Systems aggregate:

• Verified social handles (Twitter/X, Farcaster, Lens) to a primary wallet.
• GitHub contribution history for developer-creators.
• Platform-native metrics (Mirror subscribers, Lens collects).
• Attestation graphs from platforms like Ethereum Attestation Service.

A quantifiable assessment of an entity's historical behavior and trustworthiness derived from immutable blockchain data. For creators, this includes metrics like project longevity, royalty enforcement history, and wallet activity patterns. It moves beyond subjective social proof to provide a verifiable, data-driven credibility score.

The property of a system designed to resist manipulation by a single entity creating many fake identities (Sybils). Creator Score mechanisms incorporate this by analyzing wallet clustering, funding sources, and behavioral fingerprints to ensure a single bad actor cannot artificially inflate multiple scores, preserving the metric's integrity.

The measure of how consistently a marketplace or protocol enforces the creator's set royalty fee on secondary sales. A key factor in Creator Score, as high compliance signals a sustainable ecosystem for creators. Tracked by comparing stated royalty percentages against actual fee distributions on OpenSea, Blur, and other major marketplaces.

The process of identifying and filtering out artificial, self-dealing transactions designed to inflate volume and price metrics. Essential for calculating accurate secondary market performance in a Creator Score. Algorithms analyze patterns like rapid circular trades between related wallets and trades at a loss to flag wash activity.

A distribution metric analyzing how a collection's NFTs are spread among unique wallets. High concentration (e.g., a few wallets own most supply) can indicate risk of manipulation or lack of organic demand. Creator Score evaluates this via the Gini Coefficient or Herfindahl-Hirschman Index (HHI) to assess community health and decentralization.

The evaluation of security and functional attributes of a collection's underlying code. Factors audited for Creator Score include:

• Ownership renouncement status
• Presence of minting or transfer vulnerabilities
• Upgradeability controls and admin key risks
• Adherence to established standards like ERC-721 and ERC-1155.