DJD Agent Score
ProductFreeReputation scoring for AI agent wallets on Base L2. Check trust scores (0-100) across 5 dimensions before transacting with autonomous agents. Free tier available.
Capabilities3 decomposed
trust score calculation for ai agent wallets
Medium confidenceThis capability computes a reputation score for AI agent wallets on Base L2 by evaluating five distinct dimensions of trustworthiness. It utilizes a scoring algorithm that aggregates data from various sources, including transaction history and user feedback, to generate a score between 0 and 100. The architecture is designed to ensure real-time updates and transparency in scoring, leveraging decentralized data verification methods to enhance reliability.
Utilizes a multi-dimensional scoring system that incorporates both quantitative and qualitative data, unlike simpler scoring systems that rely solely on transaction volume.
More comprehensive than traditional scoring systems that only consider transaction history, providing a holistic view of agent trustworthiness.
dimension-based trust evaluation
Medium confidenceThis capability evaluates AI agent wallets across five specific dimensions, such as transaction history, user feedback, and operational transparency. Each dimension is analyzed using a combination of heuristics and machine learning models to provide a nuanced understanding of the agent's reliability. This approach allows for a more granular assessment compared to single-metric evaluations.
Employs a multi-faceted evaluation approach that combines qualitative and quantitative metrics, setting it apart from simpler models that may overlook critical factors.
Offers a more detailed analysis than alternatives that focus on a single trust metric, providing a richer context for decision-making.
real-time trust score updates
Medium confidenceThis capability ensures that the trust scores for AI agent wallets are updated in real-time by continuously monitoring transaction activities and user interactions. It employs event-driven architecture to trigger updates based on specific actions, allowing users to access the most current trust information without delay. This design choice enhances user confidence in the reliability of the scores provided.
Utilizes an event-driven architecture to push updates in real-time, contrasting with batch processing methods that can delay score availability.
Provides immediate trust score updates compared to competitors that refresh scores at fixed intervals, enhancing user responsiveness.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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EMA Agent Identity Verifier v3.1.0
Verifies AI agent wallets, domains and manifests before any transaction. Returns TRUSTED/UNVERIFIED/SUSPICIOUS/BLOCK with full signal breakdown. Connected to EMA shared brain - bad actors flagged here are blocked network-wide instantly.
Best For
- ✓developers integrating trust scoring into decentralized applications
- ✓auditors assessing AI agent reliability for compliance
- ✓developers building applications that require up-to-date trust information
Known Limitations
- ⚠Scores may take time to update based on the frequency of transaction data refreshes
- ⚠Limited to wallets on Base L2, not applicable for other blockchains
- ⚠Requires comprehensive data collection for accurate scoring
- ⚠May not reflect sudden changes in agent behavior immediately
- ⚠Real-time updates may incur additional API call limits
- ⚠Latency in score updates can occur during high transaction volumes
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
About
Reputation scoring for AI agent wallets on Base L2. Check trust scores (0-100) across 5 dimensions before transacting with autonomous agents. Free tier available.
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