"Understanding Task Analysis, Splitting, and Execution Strategies" matching MCP tools:

• arena_compare_strategies

  Backtesting Arena

  Run 2–5 strategies against the SAME pair, interval and date range and return per-strategy metrics plus a comparison summary (best by CAGR, best by win-rate, worst by drawdown). Use this when the user asks which of several strategies fits a market — it holds the pair, interval and requested date range fixed, which a series of separate arena_run_backtest calls does not guarantee. What it does NOT equalize is the EVALUATION window: a strategy with a long warmup starts trading later, so compare actual_date_from across the runs and check result.benchmark before ranking by CAGR. For one strategy across many pairs use arena_run_universe_backtest instead. Caveat worth passing on: comparing N strategies and reporting the winner IS multiple testing — the winner’s edge is upward-biased. arena_get_robustness_field puts a counted N on that. Sequential, expect 10–50s. Per-day quota: Pro=20, Power=200. [API Pro tier]

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• delegate_task

  AgentMarketplace

  Split off a sub-task from one assigned to you. Only the parent task's assignee can delegate — this is a `market.post` action (not `market.participate`) because it creates a budget, same as post_task. The new task is posted normally (you become its poster) with ``parent_task_id`` set, so ``market://tasks/{parent_id}/subtasks`` shows the delegation tree. It goes through the ordinary bidding/negotiation lifecycle from there — delegation doesn't auto-assign it to anyone. Args: access_token: AgentAuth bearer token (requires ``market.post``). parent_task_id: UUID of the task you were assigned, that you're splitting work off from. title, description, task_type, requirements, constraints, input_data, output_schema, budget_max_units, priority, deadline, bid_deadline: Same as post_task. Returns: The created sub-task on success. Errors: ``not_found`` (no such parent task), ``authorization_failed`` (you're not the parent's assignee), ``invalid_input`` (parent not assigned/in_progress, or the usual post_task field validation).

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• get_strategy

  Heista

  Read a creative strategy in full by its powersource_id. Returns the same brand-merged bundle shape as get_powersource(data) — buyer profile, 12 behavioral tensions, angles, narrative direction, tone of voice, selling points, CTAs, proof, brand story, homepage data, offering — projected through the public PowerSource API serializer. Use this when you already have a powersource_id (from list_strategies) and want the full strategy payload in one call, without the job_id round-trip that get_powersource needs. Archived strategies are excluded by default (parity with list_strategies). Pass include_archived=true to read archived strategies. Read-only, free, account-scoped.

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• compare_backtests

  Backtest360

  Run several strategies on the same data and compare side by side. One quota-counted call, but compute scales with the number of strategies. If the wall-clock compute budget is exceeded, the call fails with a tool error (504) instead of returning partial results — narrow the request (fewer strategies, shorter date range, coarser frequency) and retry. Args: data_source: Shared data source (same shape as run_backtest). strategies: List of {"label": str, "strategy": {...}, "execution": {...}?} entries. Labels need not be unique or id-safe — they are echoed back verbatim in the result. include_benchmark: Add a buy-and-hold benchmark to the comparison. response_detail: Shaping level applied to each strategy's result. trades_limit: Max trades per strategy when detail is 'full'. Returns: {"strategies": [{"label", "result"}, ...], "equity_curves": {...}, "alignment"?}, each result shaped at the requested detail. When a benchmark is included, non-benchmark entries also carry "relative" (beta, alpha, information ratio, etc.). A 400/422 rejection returns {"accepted": false, "error": ...}; capacity/timeout/permission failures raise a tool error.

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• submit_human_task

  Human For AI

  Submit a task for the human operator to perform in the real world. Returns a task_id immediately; the human reviews every task before accepting it (this is not instant execution). The operator is push-notified on submission; check_task_status shows seen_by_operator_at once a human has seen the task. Free during the pilot. contact_email must be a real mailbox (MX-checked) — it is how the deliverable reaches you. No mailbox? Set delivery to 'status_poll' instead: the deliverable arrives as text in operator_notes via check_task_status (limited to 1 such task per client per day).

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• read_strategy_list

  Arcadia Finance

  Get Arcadia LP strategies. Use featured_only=true for curated top strategies (recommended first call). Returns a paginated list with 7d avg APY for each strategy's default range. Increase limit or use offset for pagination. All APY values are decimal fractions (1.0 = 100%, 0.05 = 5%). For full detail on a specific strategy (APY per range width), use read_strategy_info.

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• merge_json

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Deep merge two JSON objects. Supports three array strategies: replace (default), concat, or unique (dedup concat). Nested objects are recursively merged — override takes precedence for primitives.

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• free2aitools_rank

  Free2AITools

  Keyword-search AI entities using the task/query text as input and return FNI-ranked catalog entries. Mechanically this is the same keyword search as free2aitools_search with the task text folded into the query; it does NOT perform task-fit recommendation, compatibility analysis, model inference, or model execution, and it is NOT an inference router. USE WHEN you have task text and want catalog entries ordered by FNI. The caller makes the final selection; results are never paid placement and there is no billing. Read-only, no side effects. May return a retryable transient 503 under cold-path or fallback budget limits; retry according to Retry-After. Use free2aitools_search for plain keyword discovery, or free2aitools_select_model to apply hardware/license metadata filters.

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• parse_address

  Qiniso

  USE THIS to extract structured {country, postcode, city, state} from a free-text UK or US address — when onboarding a user, running a KYC/fraud check, or storing an address — instead of splitting the string yourself. Returns a confidence flag.

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• get_categories

  Radix Wiki

  Get the wiki tag hierarchy with page counts per category. Useful for understanding what content exists, and for finding a valid tagPath before writing.

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• get_seed

  gamedev.pl

  Fetch the platform-generated compiling seed draft for this round when present. When available/status=available, revise this seed as the opening move. When status=pending, wait and call again before scaffolding. Only scaffold from a kit template when status=unavailable; that response explicitly says no seed exists for this round. Honour warnings.code=module_too_large by splitting oversized modules before growing them.

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• research_strategy_schema

  Helvetic Research

  Return the full JSON contract for run_quant_research strategies - every supported field, operator, and option for signal, futures/commodity, and synthetic-options strategies. Call this only when you need details beyond the worked example in run_quant_research (e.g. options legs, stop-loss/take-profit, VIX-aware filters).

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• verify_result

  Bay Run

  Verify a Bay Run execution and receipt without re-running the task. Returns stored execution authenticity, charge and hard ceiling, input/output hashes, receipt-bound route/fallback facts, restriction compliance, and receipt status. Legacy receipts return unavailable claims as null with explicit limitations. Receipt integrity does not claim that a model answer is true or that model weights executed inside a cryptographically attested environment.

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• get_top_trading_strategies

  Helium MCP Server - News, Markets & AI

  Get the top-ranked short volatility and long volatility option trading strategies. Returns two ranked lists — short_volatility (sell premium / theta strategies) and long_volatility (buy premium / gamma strategies) — each containing up to `limit` tickers. Each entry has the same fields as get_ticker: - ticker, name, latest_price, page_url - bullish_case, bearish_case, potential_outcomes, takeaway, analysis_date (AI-generated, when available) - price_forecast_days, price_forecast_percent, price_forecast_lower/upper_bound_percent (when available) - iv_rank_percentile (0-100, IV rank over past year, when available) - short_vol_call, short_vol_put: best short volatility option packs (when available) - long_vol_call, long_vol_put: best long volatility option packs (when available) Sort options: - "helium_rank" (default): Helium AI edge score — best overall expected value - "odds_of_profit": Highest probability of profit - "historical_performance": Best annualized historical P&L across backtested trades - "reward_to_risk": Best reward-to-risk ratio - "smallest_max_loss": Strategies with the smallest maximum possible loss Args: sort: Ranking method (default "helium_rank"). One of: 'helium_rank', 'odds_of_profit', 'historical_performance', 'reward_to_risk', 'smallest_max_loss'. limit: Number of results per strategy type (1-20, default 5).

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• export_backtest

  Backtest360

  Export a multi-strategy comparison as an Excel workbook. Quota-counted; needs a key whose plan includes full-metrics export (a 403 means the configured key's plan does not — do not retry). Returns the workbook base64-encoded — decode and write it to a ``.xlsx`` file. Args: data_source: Shared data source (same shape as run_backtest). strategies: Same shape as compare_backtests' ``strategies``. include_benchmark: Add a buy-and-hold benchmark to the export. Returns: {"filename", "content_type", "size_bytes", "content_base64"}. A 400/422 rejection returns {"accepted": false, "error": ...}; capacity/timeout/permission failures raise a tool error. If the encoded workbook would exceed the output size limit, raises a tool error — narrow the request (shorter date range, fewer strategies, coarser frequency) and retry.

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• cc.squirrel_chat_v2

  Central Command

  Call cc.squirrel_chat_v2 — Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Purpose: Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Behavior: conversational AI that CAN place/cancel orders and manage positions when the linked account allows it. Treat as potentially destructive. Confirm intent before asking it to trade live. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.03 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 10/min (per API key). Tier: enterprise. Returns: Conversational AI response with embedded trade execution, market analysis, indicator computations, and chart drawing commands. Guidelines: Prefer paper/simulation paths. For live money require explicit human confirmation (confirm_live / action=execute). Report real HTTP errors; never invent proxy failures. Tags: ai, agent, autonomous, trading, analysis, execution, conversational.

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• get_strategy_leaderboard

  OneQAZ Trading Intelligence

  Purpose: Top RL-learned research strategies — GLOBAL pool + per-symbol partition. Layer E evidence (Layer E = strategy-performance tier of the 5-layer trust pyramid). The GLOBAL pool may include synthesized win_rate values, so per_symbol_leaderboard is the primary measured-edge surface for trust auditing. Triggers (casual questions too): "what are the best strategies?", "제일 잘 버는 전략 뭐야?", "top strategies?", "전략 순위 보여줘", "which strategy has the best win rate?". When to call: final trust-validation step. Prerequisites: none. Next steps: market://{market_id}/signals/summary for live signals. Caveats: `min_trades` filter enforces statistical validity. Strategies are paper-tested, not real-money executed. Args: market_id: Market identifier (crypto, kr_stock, us_stock) target_market: Alias for market_id (backward compat) top_n: Top N strategies to return (default 20) limit: Alias for top_n (client-compat) min_trades: Minimum trades count for inclusion (default 10) include_per_symbol: Include per-symbol PG partition results (default True) Disclaimer: Information only, not investment advice.

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• list_routing_strategies

  Courier

  List routing strategies in the workspace. Returns metadata only; use get for full details.

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• get_mission_stats

  mcp-server

  Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.

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• list_profiles

  Forge Treasury

  List Forge vaults (Core/Middle/Infra) and agent strategies (Conservative/Balanced/Aggressive). Mainnet: Core and Middle vaults live; conservative and balanced strategies live.

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