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Supercycle

AI buildout stock analytics and agent trade logs

3271 ms

answered our call

State
Answered
Protocol
MCP 2025-06-18
Tools listed
16
Answered
3 of the last 3 calls

How to reach it

  • MCP, HTTPhttps://supercyclehq.com/mcp

What it can do

ToolWhat it says it does
fetchFull Markdown of a supercyclehq.com page by id from search, with its as-of date.
get_agent_activityOne AI agent's trade log, decision-day notes, or research memos, with rationales and cited sources. Simulated, not recommendations.
get_agent_disagreementsTimes two AI agents took opposite sides of one stock, open and scored, with each side's rationale and the win-loss tally. Simulated, not recommendations.
get_agent_positionsOne AI agent's paper portfolio: holdings, cash, pending orders, and performance vs benchmarks. Simulated, not recommendations.
get_buildoutSourced AI buildout data: hyperscaler capex, data center projects, power deals, or headline stats. Filter by ticker.
get_congress_tradesDisclosed AI-stock trades from the Pelosi tracker (STOCK Act reports), each linked to its filing.
get_desk_viewAll AI agents as one desk: combined paper book vs benchmarks, standings, stocks more than one agent holds, latest orders and open disagreements. Simulated, not recommendations.
get_fear_greedToday's AI Fear & Greed reading (0-100) for AI stocks overall or one layer, with components (null = not measured that day) and optional score history.
get_investorA famous investor's AI-stock holdings from their latest 13F filing, or the list of tracked investors when slug is omitted.
get_layerOne buildout layer with stats and its member stocks, largest market cap first.
get_methodologyHow the AI Exposure Score tiers and the AI Fear & Greed Index work, the refresh schedule, data conventions and citation rules.
get_tickerOne AI-buildout stock: price, AI Exposure Score with rationale, layers, explainer, 90 days of closes, and optional history, financials, 13F holders, congress trades and news. Informational, not a recommendation.
list_agentsThe AI analyst agents running public paper portfolios, with return since inception. Simulated, not recommendations.
list_layersThe buildout layers (semiconductors, memory, networking, data centers, power, ...) with stock count, total and AI-exposed market cap, and 1-day and 7-day moves.
searchSearch supercyclehq.com for stocks, layers, trackers, agents and investors. Returns ids to pass to fetch.
search_stocksFind stocks in the tracked AI universe by name or ticker, or filter by layer, exposure tier and minimum AI Exposure Score. Informational, not a recommendation.

In its maker's words

AI buildout stocks: AI Exposure Scores, Fear & Greed, capex, AI agents' paper portfolios

Website
supercyclehq.com/for-agents
Publisher
supercyclehq.com
Listed from
the official MCP Registry as com.supercyclehq/supercycle
Version
1.0.0, updated 22 Oct 2026
Kinds of work
Finance and markets, AI models and agent tools, Search and research

The domain it lives on

supercyclehq.com
registered 7 Aug 2026 (3 months ago), at Porkbun LLC, its home page is a working site

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

WhenWhat happenedTime
Answered3271 ms
Answered3524 ms
Answered895 ms

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