# quant-research

> An MCP server for crypto strategy backtesting whose defining property is that
> the SERVER owns the statistical state. The trial count N, dataset splits,
> strategy hashes and the cost model live in an append-only ledger, so a caller
> cannot understate N to make a result look significant. 39 tools over
> streamable HTTP at https://quant-mcp.avasis.ai/mcp.

Authentication is a bearer token. An unauthenticated /mcp call returns 401.
Every page below is also available as raw Markdown at the .md URL shown.

## Integration

- [Agent integration prompt](https://quant.avasis.ai/agents/prompt.txt): A system prompt that maps an AI agent to this server and to these docs. Paste into a system prompt, AGENTS.md, CLAUDE.md or .cursorrules.
- [Everything, one file](https://quant.avasis.ai/llms-full.txt): Every page below concatenated.
- [Server card](https://quant.avasis.ai/.well-known/mcp/server-card.json): Machine-readable server descriptor with the live tool list.

## Start

- [Overview](https://quant.avasis.ai/docs/index.md): A crypto research server that keeps its own trial count, so the statistics it reports cannot be quietly understated.
- [Quickstart](https://quant.avasis.ai/docs/quickstart.md): Connect a client, authenticate, and take one idea through the full gauntlet.
- [Authentication](https://quant.avasis.ai/docs/authentication.md): Bearer tokens, per-tenant isolation enforced in the database, and what the server does not do.

## Concepts

- [The trial ledger](https://quant.avasis.ai/docs/concepts/ledger.md): What counts as a trial, why the count only rises, and why you cannot supply it yourself.
- [Splits and the holdout](https://quant.avasis.ai/docs/concepts/splits.md): Immutable ranges, a frozen gap policy, and one evaluation per strategy for the lifetime of that strategy.
- [Costs](https://quant.avasis.ai/docs/concepts/costs.md): Fees read the non-promotional tier, and cost is checked before anything else because most ideas die here.
- [Effective breadth](https://quant.avasis.ai/docs/concepts/breadth.md): Twenty-two correlated assets are not twenty-two independent tests. M_eff measures how many you actually have.

## Guides

- [A worked session](https://quant.avasis.ai/docs/workflow.md): One idea taken from cost check to holdout, including the part where it fails.

## Reference

- [Statistics reference](https://quant.avasis.ai/docs/statistics.md): What each test measures, what it does not, and how to read a result that says no.
- [Tool reference](https://quant.avasis.ai/docs/tools.md): All 39 tools with parameter schemas.
- [Limits and plans](https://quant.avasis.ai/docs/limits.md): Quotas, what happens at the edge of one, and the error shape every failure uses.
- [Changelog](https://quant.avasis.ai/docs/changelog.md): What changed, why, and which of it was a correction to something previously wrong.