An Agentic AI Framework for Empirical Research in Quantitative Finance
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Updated
May 3, 2026 - Python
An Agentic AI Framework for Empirical Research in Quantitative Finance
Agent402: 500+ pay-per-call tools for AI agents over x402 + MPP (USDC on 12 rails, native Tempo, free via PoW, or prepaid card credits), cited reports + monitors people buy by card, the open x402 + MPP index, Smart Order Router, on-chain leaderboard, and the tollbooth. Open source, self-hostable, MCP-native. The applied layer of agentic finance.
Live crypto trading signals and market data served to AI agents.
AutoOptions - RAG & Financial Agentic Workflow: it gathers market evidence and turns options, filings, news, and macro data into clear signals and directional context. It supports decision-making, not trade execution. Outputs are informational only and do not provide strike-level investment instructions.
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Cross-Venue Agent Identity Layer · ERC-8004 compliant · inspired by the Agora Agents Hackathon
This hackathon focuses on one of the most critical challenges in AI today: enabling agents to operate with verifiable trust and real financial capability. We built a system that can safely interact with capital , execute strategies and demonstrate transparent behavior.
Intend : Your Money, Executing Your Intentions
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Multi-agent AI prediction market system · Agora Hackathon submission
Contour builds on Robinhood Chain's tokenized equities with programmable, collateralized structured products. Using Arbitrum-scale execution and EIP-712 mandates enforced by PolicyGuard, agents safely subscribe, auto-claim and roll over positions within user-signed limits, with an auditable lifecycle.
Catena (Catena Labs) is building a regulated banking and governance platform for AI agents. The platform gives agents verified identities, custodial and non-custodial accounts, fiat and stablecoin payment rails across ten chains, yield on idle assets, and policy-enforced spending controls.
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