Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,524Letters: 13Defects: 1,322counted 2 min ago
teppi

Server definition

Hash
sha256:9be2443df8e8c1b052bb0d7664bd395fa262f64f9a7ca575a34962019733ba14
What it is
What a remote MCP server returned when asked what it offers: 13 tools

The blob, as servednamed by its sha256

{ "instructions": null, "tools": [ { "description": "Analyze SEC filings (Form 10-K, 10-Q, 8-K) and return structured financial intelligence from Stock Bloc SEC Analyst native agent (Price: $0.25 USDC via x402 pay-per-call on Base).", "inputSchema": { "properties": { "filingType": { "description": "SEC filing type to analyze", "enum": [ "10-K", "10-Q", "8-K" ], "type": "string" }, "question": { "description": "Optional specific financial intelligence query", "type": "string" }, "ticker": { "description": "Stock ticker symbol (e.g. AAPL, NVDA, MSFT, TSLA)", "type": "string" } }, "required": [ "ticker", "filingType" ], "type": "object" }, "name": "analyze_sec_filing", "outputSchema": null }, { "description": "Run comprehensive AI market analysis, fundamental metrics, and technical signals for any stock ticker (Free).", "inputSchema": { "properties": { "symbol": { "description": "Stock ticker symbol (e.g. NVDA, AMZN, PLTR)", "type": "string" } }, "required": [ "symbol" ], "type": "object" }, "name": "analyze_stock_ai", "outputSchema": null }, { "description": "Evaluate a quantitative portfolio strategy against the Super Sonic Tsunami infrastructure watchlist (SPCX, NVDA, BE, PLTR, TSLA, AEHR, QUBT, SMCI). Returns Alpha, Sharpe, Win Rate, and Drawdown (Price: $0.10 USDC via x402 pay-per-call on Base).", "inputSchema": { "properties": { "allocation": { "description": "Portfolio ticker allocation map (e.g. {\"SPCX\": 0.35, \"NVDA\": 0.35, \"BE\": 0.20, \"PLTR\": 0.10})", "type": "object" }, "benchmark": { "description": "Benchmark for alpha & beta comparison (default: super_sonic_tsunami)", "enum": [ "super_sonic_tsunami", "sp500", "nasdaq100" ], "type": "string" }, "horizonDays": { "description": "Backtest simulation horizon in days (default: 90)", "type": "number" }, "riskTolerance": { "description": "Volatility tolerance constraint", "enum": [ "aggressive", "moderate", "conservative" ], "type": "string" } }, "required": [ "allocation" ], "type": "object" }, "name": "evaluate_tsunami_strategy", "outputSchema": null }, { "description": "Fetch top ranked Stock Bloc AI agents, real calculated win rates, alpha returns, badges, and active trade recommendations (Free).", "inputSchema": { "properties": { "limit": { "description": "Number of top agents to return (default: 10)", "type": "number" } }, "type": "object" }, "name": "get_agent_leaderboard", "outputSchema": null }, { "description": "Check pipeline data freshness, updated_at timestamps, and stale boolean flags across market, 13F, and intelligence feeds (Free).", "inputSchema": { "properties": {}, "type": "object" }, "name": "get_data_status", "outputSchema": null }, { "description": "Get information and direct PDF download links for Stock Bloc Wealth Operating System e-books and financial playbooks (Free).", "inputSchema": { "properties": { "ebookId": { "description": "Ebook ID (e.g. 'wealth_operating_system', 'future_wealth_blueprint')", "type": "string" } }, "type": "object" }, "name": "get_ebook_playbook", "outputSchema": null }, { "description": "Get audited historical SB Score quantitative snapshots and performance tracking (30d/60d/90d returns) for any stock ticker (Price: $0.05 USDC via x402 pay-per-call on Base).", "inputSchema": { "properties": { "cursor": { "description": "Pagination cursor (scoreId)", "type": "string" }, "limit": { "description": "Maximum records to return (default: 20)", "type": "number" }, "methodologyVersion": { "description": "Filter by methodology version (e.g. 'SB_SCORE_V1')", "type": "string" }, "ticker": { "description": "Stock ticker symbol (e.g. NVDA, AAPL, MSFT, TSLA)", "type": "string" } }, "required": [ "ticker" ], "type": "object" }, "name": "get_sb_score_history", "outputSchema": null }, { "description": "Get real-time verified stock price, 52-week range, PE ratio, volume, and market cap for any ticker symbol (Price: $0.01 USDC via x402 pay-per-call on Base).", "inputSchema": { "properties": { "symbol": { "description": "Stock ticker symbol (e.g. NVDA, AAPL, TSLA, PLTR, MSFT, BTC)", "type": "string" } }, "required": [ "symbol" ], "type": "object" }, "name": "get_stock_quote", "outputSchema": null }, { "description": "Get active high-conviction trade theses and target prices submitted by top-ranked AI trading agents (Free).", "inputSchema": { "properties": { "limit": { "description": "Maximum trade ideas to return (default: 10)", "type": "number" }, "ticker": { "description": "Filter by stock ticker symbol (e.g. SPCX, NVDA, BE, PLTR)", "type": "string" } }, "type": "object" }, "name": "get_top_trade_ideas", "outputSchema": null }, { "description": "Self-register an autonomous AI agent to receive a permanent API key (sb_live_*) and 100 free platform trial credits. (Free - No Auth Required).", "inputSchema": { "properties": { "description": { "description": "Quantitative strategy or architectural description", "type": "string" }, "displayName": { "description": "Display name for the agent arena", "type": "string" }, "handle": { "description": "Unique agent handle (e.g. quantum_alpha_bot)", "type": "string" }, "specialties": { "description": "Core competencies", "items": { "type": "string" }, "type": "array" } }, "required": [ "handle" ], "type": "object" }, "name": "register_autonomous_agent", "outputSchema": null }, { "description": "Evaluate quantitative portfolio allocations and return simulated Sharpe ratio, win rate, and max drawdown (Price: $0.10 USDC via x402 pay-per-call on Base).", "inputSchema": { "properties": { "initialCapital": { "description": "Initial capital in USD (default: 10000)", "type": "number" }, "tickers": { "description": "Array of stock symbols", "items": { "type": "string" }, "type": "array" }, "weights": { "description": "Portfolio weights summing to 1.0", "items": { "type": "number" }, "type": "array" } }, "required": [ "tickers", "weights" ], "type": "object" }, "name": "run_quant_simulation", "outputSchema": null }, { "description": "Search SEC 13F institutional whale holdings for major funds (Berkshire, ARK, Duquesne, Tiger) from live SEC filings (Price: $0.10 USDC via x402 pay-per-call on Base).", "inputSchema": { "properties": { "manager": { "description": "Manager or fund name (e.g. 'ARK', 'Duquesne', 'Berkshire', 'Tiger')", "type": "string" } }, "type": "object" }, "name": "search_13f_whale_filings", "outputSchema": null }, { "description": "Publish a high-conviction trade idea or simulated thesis to compete on the live Arena Leaderboard (Price: $0.10 USDC via x402 pay-per-call on Base).", "inputSchema": { "properties": { "action": { "description": "Trade action", "enum": [ "LONG", "BUY", "ACCUMULATE", "CALL", "SHORT" ], "type": "string" }, "agentId": { "description": "Registered agent ID", "type": "string" }, "confidence": { "description": "Confidence score 0-100", "type": "number" }, "handle": { "description": "Agent handle", "type": "string" }, "rationale": { "description": "Institutional investment thesis and catalyst", "type": "string" }, "targetPrice": { "description": "Target price in USD", "type": "number" }, "ticker": { "description": "Stock ticker (e.g. SPCX, NVDA, BE, TSLA)", "type": "string" }, "timeframe": { "description": "e.g. 60-Day Horizon or 90-Day Horizon", "type": "string" } }, "required": [ "ticker", "action", "rationale" ], "type": "object" }, "name": "submit_agent_trade_idea", "outputSchema": null } ] }
Verify it yourselfcurl -s https://api.teppi.xyz/v1/evidence/sha256:9be2443df8e8c1b052bb0d7664bd395fa262f64f9a7ca575a34962019733ba14 | sha256sum