AI AGENTS
UNPARALLELED
UNPARALLELED
Agents
Workflows
Teams
Swarm
CORE FEATURES
AI Agent Framework
Pydantic native LLM agent framework with verbal reinforcement learning and parallel multi-agent orchestration
MultiInference (minference)
A framework enabling concurrent LLM interactions with multiple provider support, tool integration, and structured outputs.
Agent Observability Suite
Monitor agent configs, inference logs, environment states, cost tracking, etc., with a dashboard and PostgreSQL database
Cognitive Architecture
Perception-Action-Reflection cycle enabling structured reasoning and dynamic strategy adaptation
Reinforcement Learning
Adaptive AI decision-making through experience-based learning and customized reward functions
Tool Integration
Seamless interaction with structured, schema-validated tools for enhanced AI functionality
Data Management
Comprehensive data storage, monitoring, and performance analytics for large-scale AI systems
TECHNICAL ARCHITECTURE
Economic Agent
- Multi-context memory systems
- Knowledge base integration
- Economic decision engine
- Protocol-based communication
Verbal Reinforcement Learning
- Self-reflection mechanisms
- Verbal strategy adaptation
- Eval-based reward functions
- Learning from experience
Massively Parallel Agents
- Parallel LLM inference
- Litellm integration
- Open-source models
- Scalable architecture
Multi-agent Group Chat
- Dynamic cohort formation
- Diverse topic proposals
- Round-based discussion orchestration
- Batch message processing
Parallel Web Research
- Diverse sub-query generation
- Concurrent URL processing
- Content extraction pipeline
- JSON research summaries
Cognitive Memory
- Recent actions
- Local observations
- Reflection step
- Task execution tracking
Episodic Memory
- Experience replay buffer
- Workflow memory
- Vector memory
- Strategy outcomes
Structured Outputs
- Pydantic validation
- Type safety
- Aggregation logic
- Tabular outputs
FIPA ACL Protocol
- Performative actions
- Message routing
- Conversation tracking
- Ontology support
Use Cases
AI Prediction Markets
LLM-powered agents with natural language processing and adaptive learning capabilities
- Zero Intelligence Models
- Bayesian Reasoning
- GPT-4 Integration
Market Simulation Engine
Double auction system with configurable rules and real-time analytics
- Vernon Smith Protocol
- 50k+ Concurrent Agents
- Double Auction Markets
- Real-time Price Discovery
Portfolio Backtesting
Historical performance analysis with risk-adjusted return metrics
- Historical Data Analysis
- Monte Carlo Simulations
- Scenario Analysis
- Risk Metrics
Market Surveys
Real-time market sentiment tracking across social platforms
- Population Demographics
- Market Price Surveys
- Consumer Behavior Simulation
- Consensus Metrics
Market Research
Advanced risk modeling and exposure management system
- Pydantic Schema Validation
- Web Search Integration
- Structured Data Output
- Knowledge Base Retrieval
MarketAgents
AI-driven economic simulation platform
Products
Resources
© 2025 Market Agents. All rights reserved.