Place an outbound AI-driven voice call (Bland.ai via BlockRun). Walks through intent capture, caller-ID selection, task scripting, and confirmation; fires VoiceCall, then auto-polls VoiceStatus until completion and surfaces the transcript. $0.54 per call, US/CA destinations only, charged from your wallet. Real-world action — use with prior consent.
Record market commentary, hypotheses, or open observations as a structured note — no trade fired, no position sized. Lighter than /trade-strategy. Saves to ~/.blockrun/notes/ for future reference. Use when the user wants to think out loud about the market.
Open a paper-trade position with a structured rationale — direction, price target, stop, time horizon, conviction, evidence, tags, thesis. The journal scores the trade on discipline (verifiability, evidence, specificity, novelty, review), not P&L, and surfaces the trend in TradingPortfolio. Use any time the user wants to open a position with intent, not vibes.
Write a long-form trading strategy document — thesis, entry triggers, exit rules, position sizing, hold horizon, kill criteria. No trade is fired. Saves a structured markdown note to ~/.blockrun/notes/. Use when the user wants to plan an approach before committing capital.
On-chain analytics via Surf — raw SQL against 80+ indexed chain tables, structured queries, schema introspection, wallet labels (CEX/Whale/Bridge/MEV…), wallet net worth, transfers, DeFi positions, gas prices, bridge volumes, yield pools. Use when the user wants on-chain forensics, wallet intelligence, holder analysis, transfer tracking, or custom chain queries.
Crypto market data via Surf — prices, futures, ETFs, options, fear/greed, technical and on-chain indicators, token DEX flows, news, project profiles, VC fund holdings. Use when the user asks about market conditions, ranking tokens, futures positioning, technical signals, options skew, news context, or VC/fund intelligence.
Crypto-Twitter / KOL intelligence via Surf — project mindshare time series, smart-follower history (high-signal accounts), social ranking, tweet + replies fetch, user profile / followers / posts / replies. Use when the user asks about KOL sentiment, project attention, smart money commentary, narrative momentum, or specific Twitter handles.
Wallet-aware grilling — interview me about a plan one question at a time, with each branch of the decision tree framed as a USDC cost impact