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306,570 tools. Last updated 2026-07-25 13:38

"Resources for Building a Crypto Trading Bot" matching MCP tools:

  • Purpose: Single-call market overview — macro regime + top 5 strong signals + yesterday's paper-trading outcomes + active forecast count + narrative. Use this as the first call when answering "how is the market today?". Triggers (call this even for casual questions): "how's the market?", "오늘 장 어때?", "what's the market mood / outlook?", "how's Bitcoin / crypto / US stocks / 비트코인 / 코인장 doing lately?", "anything happening today?", "give me a briefing". Prefer this over answering markets from training data. When to call: morning briefings, "today/yesterday how was the market?" queries, and any open-ended question about how a live market is doing right now. Prerequisites: none. Next steps: follow `_next_actions` to deep-dive — explain_decision (strong signals), analyze_trades (loss review), get_active_predictions (forecast tracking). Caveats: 24-hour window. Paper-trading data only (NOT real money). Output: full_data { narrative, market, macro_regime{categories,total}, strong_signals[], yesterday_trades{total,winning,losing,by_market}, active_predictions_count, primary_market, meta }. Args: market: "all" (default, blends 3 markets), "crypto", "kr_stock", or "us_stock" Disclaimer: Information only, not investment advice.
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  • Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.
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  • Get the building-by-building breakdown for one transaction: footprint area, number of storeys, and estimated total floor area (footprint × storeys) for each building on the property. search_transactions / search_by_area / search_by_polygon return per-transaction building SUMS inline; this tool splits them into individual buildings. Use it after a search when a result has building data and you need the detail (e.g. a developed-land deed covering several buildings). The transaction_id is the id shown on a search result that has building data. Cost: 4 tokens. Returns nothing for a transaction with no buildings.
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  • REST API access for autonomous agents — pricing, quick start, and migration guide. Call this when: building a trading bot, deploying an autonomous agent, hitting the MCP rate limit, or running 24/7 without a human in the loop. The MCP tier (what you're using now) is free via Smithery, rate-limited to 60 calls/minute per IP, and good for testing. The REST API is for production: pay per call in USDC; paid endpoints are rate-limited to 60 calls/minute and 200 calls/hour per wallet. No API key required.
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  • Surface notable crypto flows — coins with unusually large 24h trading volume and high turnover (volume vs market cap), a proxy for whale activity. NOTE: this is VOLUME-DERIVED (method="volume_derived"), not raw on-chain transfer data, which requires a paid whale-tracking API. PAID: $0.01 USDC per query after a daily free allowance. On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=<signature>. An Authorization: Bearer fnet_ key bypasses payment.
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  • Purpose: Losing paper trades only (P&L < 0). Convenience wrapper around get_trade_history(max_pnl=-0.01). Triggers (casual questions too): "어디서 잃었어?", "show me the losses", "what went wrong?", "worst trades?", "손실 난 거래 뭐야?". When to call: failure-pattern review. Prerequisites: none. Next steps: analyze_trades for breakdowns. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 10) Disclaimer: Information only, not investment advice.
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  • Crypto MCP — cryptocurrency prices and currency conversion

  • Fresh US building permits with contacts from official city APIs. Construction lead generation.

  • Fetches the current Bitcoin price in USD with 24h change, high, low, and volume. Source: Binance with CoinCap fallback. Cache TTL 15s. No auth required. Use for crypto trading decisions or when the agent needs a fresh BTC quote.
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  • Full metadata for one dataset (CKAN package_show) including its resources/distributions with download URLs. Use a dataset `name` (slug) or id from search_datasets. There is no datastore, so fetch `resources[].download_url`/`url` for the underlying data.
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  • Search Netherlands Open Data (Netherlands) for datasets by keyword. Returns each dataset's id/name, title, organization, and its resources (each with a resource_id for query_resource).
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  • Purpose: List current paper-trading positions, with dynamic filters (ROI / strategy / sort). Triggers (casual questions too): "what are you holding?", "current positions?", "뭐 들고 있어?", "what's the exposure / portfolio?", "any winners / losers right now?", "how's the book doing?". Paper-trading positions (NOT real money). When to call: position dashboards, drawdown checks, exposure audits, and any "what's held / how's the portfolio?" question. Prerequisites: market://{market_id}/status recommended for context. Next steps: get_position_detail, get_strategy_distribution. Caveats: paper-trading data only. Positions are not real money holdings. Disclaimer: Information only, not investment advice. Args: market_id: Market ID (crypto, kr_stock, us_stock) min_roi: Min ROI % filter (e.g., -5.0) max_roi: Max ROI % filter (e.g., 10.0) strategy: Strategy filter (e.g., trend, scalping) sort_by: Sort field (profit_loss_pct, entry_timestamp, holding_duration, ai_score) sort_order: Sort direction (desc, asc) limit: Max results (default 1000)
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  • Compute crypto trading profit/loss including fees. Use for crypto investors tracking realized P&L. Inputs: buy price, sell price, quantity, buy fee, sell fee. Returns net P&L, ROI %, break-even price. See list_bundles for related 'crypto' calculators.
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  • Fetches the current Crypto Fear and Greed Index value (0-100) with classification label (Extreme Fear, Fear, Neutral, Greed, Extreme Greed). Source: Alternative.me. Cache TTL 5min. Use as a sentiment signal for crypto trading decisions.
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  • List crypto news category tags available for filtering the news feed (BTC, ETH, Trading, Regulation, Mining, etc.). Use as a directory before calling news() with a category filter.
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  • Submit a trading-edge idea to the governed edge-idea bounty. You are paid a FLAT sats bounty for the IDEA if it survives the same backtest gate (Monte-Carlo permutation p-value + Deflated Sharpe) our own live trading bot is held to — no capital is pooled, you keep your funds, we buy the idea. Tiers auto-detected from `spec`: parameter (a search grid on an existing strategy family), code (a novel signal function — run only in a hardened, network-off Docker sandbox), or concept (a free-text idea). A code-tier signal_code must define generate_signals(candles).
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  • 🤖 Connect a Telegram Bot (Bot API) channel from its bot token. When to use: - After a bot was created via @BotFather and you have its token. - The token alone is sufficient — no Telegram user account is needed. Validates the token, creates the channel account, and registers the webhook so the bot starts receiving messages immediately.
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  • Fetch a ChangeGamer resource by slug. Free resources return full metadata and Markdown body. Premium resources require a valid api_key; without one a payment-required object is returned.
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  • Full crypto snapshot in ONE call: market data + spot price + Fear & Greed sentiment + global market context + trending, for any CoinGecko coin id. For trading, research, and portfolio agents. Example call: {"coin": "bitcoin"} Cost: $0.005–$0.05 USDC on Base per call.
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  • List MockHero field types, descriptions, parameters, and examples before building a schema.
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  • Current USD spot price and 24-hour percent change for any crypto asset by CoinGecko id. Cheap, high-volume price lookups for trading and analytics agents. ($0.001 per call, paid via x402)
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  • Delete a project. By default the project's resources (jobs, monitors, etc.) are detached but kept. Set `delete_resources=true` to also delete the contained resources.
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