An experimental Proof of Concept (PoC) for an autonomous agent swarm designed for batch processing insurance claims, hosted on GitHub.
We map the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
An AI agent framework for FinTech operations that automates merchant onboarding, AML list checks, and risk assessments, enabling faster ROI with human control.
Alpaca's Trading API for stocks and crypto, offering features like short selling, advanced order types, and increased buying power.
MCP server for EPA air quality data and HUD foreclosure listings. Connects AI assistants to environmental monitoring and housing property data.
FinRobot is an AI Agent platform for financial applications, unifying LLMs, reinforcement learning, and quantitative analytics for investment research automation, algorithmic trading, and risk assessment.
Demonstrates how AI agents can streamline compliance and fulfill regulatory requirements for financial institutions using Amazon Bedrock and CrewAI.
AgentShield Repo is a GitHub repository likely containing code and resources related to the AgentShield project, which may involve agent security or management.
Article demonstrating AI agentic workflows in financial decision-making, such as personal loan origination, leveraging domain-specific knowledge.
DeFi agent definitions and JSON API for Web3, crypto trading, portfolio management, and blockchain automation. MCP compatible and production-ready.
Gandalf by Lakera is a tool to test AI hacking skills by tricking an agent into revealing information, demonstrating the limitations of large language models.
Automates the entire claims processing lifecycle for faster, more accurate, and cost-effective resolutions, addressing manual process inefficiencies.
Automates data intake and analysis for policy underwriting, accelerating decisions and improving risk accuracy by addressing manual process inefficiencies.
Automates vendor discovery, evaluation, and shortlisting, helping procurement teams source faster by reducing time spent on manual research, communication, and verification.
Transforms training from a cost center into a measurable business growth engine, helping to prove L&D ROI by analyzing training effectiveness and impact on business outcomes.
An AI agent designed to assist with insurance-related tasks, appearing to be a personal GitHub repository rather than a commercial product.
Constructor offers AI Shopping Agents (ASA) and Product Insight Agents (PIA) to enhance shopper journeys in e-commerce. They provide a demo to showcase these capabilities.











