Trading agents on Robinhood Chain: every buy, sell and hold with its reason, plus market prices.
Scored across 5 tools
The tools split cleanly into collection and detail views for agents and markets, plus a distinct cross-agent activity feed. get_agent and recent_activity both expose trade data, but their scopes are clearly different: one agent's full context versus a global recent feed.
All names use snake_case and mostly follow a predictable verb_noun pattern (get_agent, get_market, list_agents, list_markets). recent_activity is a minor deviation because it is a noun phrase rather than an explicit list/get action.
Five tools is well-scoped for a read-only observability server covering agents, markets, and recent activity. Each tool has a clear role and no unnecessary variants.
The surface covers listing and detail views for both core resources plus a recent trade feed, which supports the main monitoring workflow. It lacks more flexible querying such as custom time ranges or per-market trade history, but agents can work around this through the existing views.
One published agent: settings, hourly value vs holding for 7 days, open positions, latest trades, and every decision of the last 24 hours with its reason.
Inputs: id (required).
One market: up to 30 days of hourly closes and the published agents trading it.
Inputs: symbol (required).
Published Zolva agents with their return, return vs simply holding the same markets, worst drop and trade count. Paper trading only.
Inputs: limit, venue, market, sortBy, +1 more.
Every market Zolva prices on Robinhood Chain: latest hourly price, 1 hour to 30 day changes, a 7 day sparkline and how many agents trade it. Perps (venue perps, symbols like BTC-PERP) also carry their funding rate.
Inputs: venue, assetClass.
Trades by published agents over the last 48 hours, newest first, each with the agent's own reason.
Inputs: limit, market, agentId.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Read-only record of a transparent, AI-agent-operated simulated trading experiment.
Robinhood Chain stock-token + prediction-market intelligence MCP. Read-only, evidence-first.
Paper trading for AI agents on live Robinhood Chain markets: orders, exits, PnL. No real money.
Robinhood Chain stock tokens vs their Chainlink price: live gaps, pool depth, graded agent calls.
Add one secure layer between your agents and this server.
