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Agentii Investment Intelligence

AI community
SOURCE https://github.com/agentii-ai/agentii-investment-intelligence

Description

Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered by agentii.ai data plane. Works with Claude Code, OpenCode, Codex, OpenClaw, Goose.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

agentii-investment-intelligence

Claude Code using agentii.ai to search LLY 10-K and receiving real SEC filing data

The financial data layer for AI agents.
Open-source alternative to FactSet / Daloopa / S&P Global for AI agents.
165+ US equities with full SEC filing history. 31 Claude-type skills. 20+ MCP tools.
One API key. Zero infrastructure. Single entrance: /agentii:skill-name.

License Stars Discussions Version

Why agentii

Wall Street pays $30K+/seat/year for FactSet, Bloomberg, and S&P Global. Those platforms were built for humans clicking through terminals. AI agents need **agent-use-ready data** — structured, citation-backed, page-addressable, API-delivered.

agentii.ai ingests every SEC filing (10-K, 10-Q, 8-K, 20-F, 6-K) into a Neon PostgreSQL data plane with 4.17M XBRL facts, 15K+ source documents, and 243K+ parsed pages. A single `agentii` MCP server at `mcp.agentii.ai` exposes 30+ tools that Claude Code, OpenCode, Goose, Codex, OpenClaw, and Claude Cowork consume natively.

This repository mirrors [`anthropics/financial-services`](https://github.com/anthropics/financial-services) — marketplace plugin system, vertical skill decomposition, agent-plugin bundling. The difference: all skills point at a **single `agentii` MCP serv

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