Agentic AI

Quantitative systems, ready for agents

Agentic AI is changing how quantitative work gets done. Tideseed is integrating agents into its products and services — and helping clients do the same, with the discipline these systems demand.

In our products

Robokami, agent-friendly

Robokami is getting more agent-friendly with skills, MCP and other AI integrations.

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 expose Robokami's data and tooling to any MCP-compatible agent or IDE. This site serves its own MCP endpoint at /mcp, too.

AI-assisted operations

Agents help monitor markets, draft analyses and prepare decisions — with humans approving what matters. Automation where it's safe, oversight where it counts.

In your stack

Agent-ready quantitative systems

We help clients connect models and data to agentic workflows — properly.

Tool & MCP design

Turning your models, data systems and APIs into well-specified tools that agents can call safely: schemas, permissions, rate limits and audit trails included.

Decision loops with oversight

Designing full agentic workflows for quantitative operations — forecasting runs, optimization triggers, reporting — with human-in-the-loop checkpoints where stakes are high.

For machines

This site speaks agent

Everything on this website is also published in machine-readable form: llms.txt for LLM crawlers, agents.txt for autonomous agents, markdown mirrors of every page under /content/, and a live MCP endpoint at https://tideseed.com/mcp.

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