Trace AI: Your AI-powered assistant for instant, accurate answers from your company’s knowledge base.
What is Trace?
Trace is a specialized AI agent developed by the team at Trace Labs, designed to automate and enhance blockchain data analysis and transaction monitoring. The platform leverages a proprietary AI model that integrates with on-chain data sources, utilizing advanced pattern recognition to interpret complex blockchain activity. Its key capabilities include real-time transaction decoding, wallet profiling, risk scoring, and the generation of plain-English narratives that explain the flow of funds and identify potential security threats or compliance issues. The primary target users are Web3 security analysts, compliance teams, and investigators within cryptocurrency businesses, financial institutions, and regulatory bodies. Use cases range from tracing stolen funds and investigating fraud to ensuring regulatory compliance and conducting due diligence. By integrating directly into security and compliance workflows, Trace significantly reduces the manual effort and specialized expertise required for blockchain forensic analysis, turning raw, opaque data into actionable intelligence. For a related tool focused on AI-powered security, see https://ai-plaza.io/ai/sentinel. Further technical details on blockchain analytics frameworks are available through the MIT Digital Currency Initiative.
Key Findings
- Data Provenance: Tracks the origin and lineage of every data point across your entire system.
- Model Transparency: Explains every prediction with clear reasoning and supporting evidence for full accountability.
- Bias Detection: Identifies and flags potential biases in training data and model outputs proactively.
- Compliance Reporting: Generates detailed audit trails and reports to meet strict regulatory requirements automatically.
- Risk Assessment: Evaluates and scores potential risks associated with each AI-driven decision continuously.
- Anomaly Identification: Surfaces unusual patterns or outliers in model behavior and data streams instantly.
- Decision Logging: Creates an immutable, timestamped record of every decision made by the system.
- Drift Monitoring: Continuously watches for shifts in data or model performance over time.
- Root Analysis: Investigates and pinpoints the fundamental causes behind any model performance issue.
- Trust Scoring: Provides a quantifiable measure of reliability and confidence for each model output.
Who is it for?
Project Manager
- Meeting minutes summarization
- Project timeline visualization
- Risk log maintenance
- Stakeholder update drafting
- Resource allocation reporting
Marketing Manager
- Campaign performance report
- Competitor analysis synthesis
- Content calendar planning
- ROI calculation for activities
- Customer persona development
Startup Founder
- Investor update preparation
- Product roadmap prioritization
- Market sizing analysis
- Pitch deck refinement
- Operational bottleneck identification
Pricing
Free @ $0/mo
- 1000 monthly credits
- Upload files to Personal Databank
- Notion integration
- Create Docs & Spreadsheets
- Web Search agent
- Text Processing agent
Pro @ $45/mo
- Everything in Free
- 10000 monthly credits
- Personal Google Drive integration
- Web Scraper agent
- Email automation agent
- X (Twitter) integration agent
Team @ $150/mo
- Everything in Pro
- 30000 additional monthly credits
- Shared Google Drive integration
- Team Databanks
- Cron Schedulers
- Team Templates
Enterprise @ Custom/mo
- Everything in Team
- Custom Deployment
- Dedicated support
- SLA guarantees
- Advanced security
- Custom integration
- BYOA: Bring Your Own Agent