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Quant'AbondanceL'abondance, quantifiée.
·5 min read·QuantAbundancia Research

The map is the product: QuantAbundancia's public API and MCP server

12 measured bubbles, ~700 instruments with a written thesis, 252-day correlations, and 68 names with a live Hyperliquid perp mark. All of it is queryable today, free, by you or by your AI.

APIMCP servermarket databubblescorrelationsHyperliquidAI toolsquant research

The standard way to give an AI market context is to bolt a price feed onto it. Prices are the one part a model can get anywhere, and the least useful part on their own: a price without the map around it is a number without a sentence. The part a model cannot get anywhere is the map itself: which names actually belong together, how tightly they really co-move, and why each one is on the board at all.

That map is what QuantAbundancia builds, and as of this week the whole of it is queryable by machine: a public JSON API at api.quantabundancia.com, and an MCP server that plugs the corpus straight into Claude or any MCP-capable assistant. No key, no signup, free at the point of use.

The TL;DR. Everything the site shows is served as structured data: 12 empirically measured bubbles, ~700 instruments each carrying a written thesis, 252-day pairwise correlations, cross-cutting themes, tracked 13F portfolios, and 68 instruments quoted 24/7 via live Hyperliquid perp marks. One pip install puts all of it inside an AI assistant's reach.

What is actually in the corpus

The bubble map, measured rather than asserted. Twelve editorial clusters of the AI supercycle (compute, memory, power, photonics, robotics, quantum and the rest), each tested against 252-day residualized correlations. The taxonomy is honest about its own failures: clusters that turn out to be SPY in a costume are labeled broken, with the rationale attached. The methodology and the ranking live in the 12 bubbles, ranked.

A thesis per instrument, ~700 of them. Not a description scraped from a filing: a written position on what the company is in the value chain, who anchors its revenue, what backlog is disclosed, and which cluster it trades with. This is the layer that is not derivable from any price feed at any price.

Correlations that answer a specific question. Whether two names actually move together, or only share a story. Backward-looking, 252-day window, residualized: the API says what was measured, not what happens next.

The 24/7 tape, from the one source we can legally hand you. 68 QA instruments carry a liquid Hyperliquid perp, and the API serves each one's live mark, hourly funding, open interest and 24h volume, continuously, while the primary exchanges are shut roughly 80% of the week. Licensed exchange OHLCV is exactly what a research desk may NOT redistribute, so the public API serves price summaries there instead of pretending otherwise; the Hyperliquid lane is redistributable in full, and it is the same feed the /hyperliquid board renders. Trading the perps themselves is a different activity with its own risk profile: /stack/hyperliquid.

The MCP server: the corpus inside your assistant

MCP is the open protocol that lets an AI assistant call external tools. QA's server exposes seven: list and inspect bubbles, list themes, pull an instrument's thesis, resolve a name to a ticker, check a correlation, list tracked 13F portfolios. One command wires it into Claude Code:

claude mcp add quantabundancia -- uvx --from "git+https://github.com/LXunchained/QuantAbundancia#subdirectory=mcp_server" quantabundancia-mcp

The design detail that matters for anyone who has piped an API into a model before: responses are shaped for a context window, not for a browser. The raw correlation matrix is ~82KB; the tool returns a bounded view (~19KB unfiltered, under 1KB filtered to two tickers), and whenever a cap truncates a list, the response says so, because a silently shortened list reads to a model as the complete set.

What that turns into in practice: ask an assistant "does $NVDA actually trade with the memory names or just share their story", and instead of hallucinating a number it pulls the measured 252-day answer, the bubble membership on both sides, and the written thesis for each name involved.

Access, and where this is going

Today: anonymous callers get a daily allowance sized for real interactive use, and every endpoint and every MCP tool works with zero configuration. Automated or heavier use runs on an API key, issued on request at contact@quantabundancia.com, free while the product finds its shape.

The honest roadmap: a paid tier is coming for sustained programmatic use. The metering and key infrastructure already exist in the backend; what does not exist yet is pricing, because pricing before demand is guessing. So this is the demand measurement: if you build something on the API or the MCP server, or you want to, write to contact@quantabundancia.com and say what you are doing and what a fair monthly number would be. Early users shape the grid and keep preferential terms, the same logic as the Founding tier.

What to watch

  • Coverage of the Hyperliquid lane: 68 instruments carry a liquid perp today; that number moves as the venue lists more equities.
  • Whether the correlation window grows alternatives (shorter windows for regime detection is the most-requested shape so far).
  • The paid tier taking a defined form: grid published on the site, keys self-serve instead of by email.
  • MCP protocol adoption: every assistant that speaks it becomes a client of this corpus with zero integration work on our side.

Try it now: the board at /hyperliquid, the map at /bubbles, the server at github.com/LXunchained/QuantAbundancia.

The research side: higher assistant limits and operator commentary are part of /pro.

QuantAbundancia is educational research. Nothing here is investment advice. See /disclosures.

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