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Infi

Infi is a Tauri 2 desktop application for AI-powered stock and portfolio research. It pairs a Rust backend with a Vite + React frontend to orchestrate external ACP (Agent Client Protocol) coding agents that fetch, structure, and reason over financial data. The final output is a structured analysis report assembled from typed blocks — the agent never emits free-form prose as the final product.

The application is a research workbench, not an investment advisor. Every analysis includes a "Research only. Not investment advice." disclaimer forced via the submit_final_stance MCP tool.

What it does

• Single-equity research — enter a stock ticker and a research question; an ACP agent fetches data from multiple providers and produces a structured report with metrics, stances, projections, and sources.
• Portfolio analysis — import a CSV of holdings or transactions, then generate portfolio-level insights including allocation review, risk assessment, expected return models, and rebalancing suggestions.
• Report viewer — browse completed analyses in an editorial-style report viewer with expandable sections, metric explanations, source lists, and projection charts.
• Data source management — configure API keys for 12+ financial data providers (Alpha Vantage, Finnhub, Finviz, FMP, Polygon, Yahoo Finance, SEC Edgar, and more) through the OS keychain.
• Export and publish — export reports as standalone HTML files or markdown, and publish to a shareable URL.

Tech stack

Layer	Technology
Desktop shell	Tauri 2
Backend	Rust (edition 2024), rusqlite, tokio, reqwest
Frontend	React 19, Vite 8, Tailwind CSS 4, TypeScript
State management	Custom useSyncExternalStore store, TanStack Query
Agent protocol	ACP (Agent Client Protocol) via agent-client-protocol and pmcp crates
Database	SQLite (bundled via rusqlite)
Templates	Handlebars (analysis prompts)

Quick links

• Architecture — system layers, data flows, and component relationships
• Getting started — prerequisites, build, and run instructions
• Glossary — project-specific terms and abbreviations
• Backend systems — Rust infrastructure deep-dive
• Frontend — React application structure
• Data sources — financial provider integrations

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