# Tideseed and Agentic AI

Tideseed integrates agentic AI into its quantitative products and services, and helps clients do the same.

## In Tideseed products

Robokami, Tideseed's algorithmic trading suite, is becoming agent-friendly through:

- **Skills** — packaged capabilities that LLM-based agents can discover and use, from market queries to analysis routines, with clear contracts and guardrails.
- **MCP servers** — Model Context Protocol endpoints exposing Robokami's data and tooling to MCP-compatible agents and IDEs.
- **AI-assisted operations** — agents monitor markets, draft analyses and prepare decisions, with human approval on what matters.

## For clients

- **Tool & MCP design** — turning models, data systems and APIs into well-specified tools agents can call safely: schemas, permissions, rate limits, audit trails.
- **Decision loops with oversight** — full agentic workflows for quantitative operations (forecasting runs, optimization triggers, reporting) with human-in-the-loop checkpoints.

## Machine-readable resources on this site

- llms.txt index: https://tideseed.com/llms.txt
- Full content: https://tideseed.com/llms-full.txt
- Agent guide: https://tideseed.com/agents.txt
- MCP endpoint (Streamable HTTP): https://tideseed.com/mcp
- Markdown content mirror: https://tideseed.com/content/

## Contact

info@tideseed.com · https://tideseed.com/#contact