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131,132 tools. Last updated 2026-05-07 19:31

"The most widely used models" matching MCP tools:

  • Get Helium's proprietary ML model-predicted price for a specific option contract. Helium trains per-symbol regression models on historical options data. This tool looks up the most recent available options chain for the symbol (today or up to 5 days back), finds the exact contract matching strike/expiration/type, and runs it through that model to produce a predicted fair-value price. Returns: - symbol: the ticker - strike: the strike price used - expiration: the expiration date used - option_type: 'call' or 'put' - predicted_price: Helium's model-predicted option price in dollars - prob_itm: probability of expiring in the money (0.0–1.0), or null if model unavailable - options_data_date: the date of the options chain snapshot the model was run on (so you know how fresh the underlying market data is) Throws an error if no options chain data is available for the symbol within the past 5 days, or if the exact contract (strike/expiration/type combination) does not exist in that chain. Args: symbol: Ticker symbol, e.g. 'AAPL', 'SPY'. strike: Strike price as a number, e.g. 150.0. expiration: Expiration date as 'YYYY-MM-DD', e.g. '2026-06-20'. option_type: Must be 'call' or 'put'.
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  • Complete Disco signup using an email verification code. Call this after discovery_signup returns {"status": "verification_required"}. The user receives a 6-digit code by email — pass it here along with the same email address used in discovery_signup. Returns an API key on success. Args: email: Email address used in the discovery_signup call. code: 6-digit verification code from the email.
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  • Add funds to your wallet via secure payment provider. Returns a checkout URL where you or your user can complete the payment. After successful payment, the wallet is automatically credited. Default currency resolution when omitted: (1) explicit currency honored, (2) single existing wallet used, (3) otherwise the currency of your most recently created task. If none available → error asking you to pass currency explicitly. No stale USD default. Requires authentication.
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  • List ASR (speech-to-text) models currently loaded on this node (Whisper, Distil-Whisper, Moonshine, Parakeet, Canary). Use list_audio_catalog to browse the curated catalog.
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  • List text-embedding models currently loaded on this node (Qwen3-Embedding, EmbeddingGemma, BGE-M3, etc.). Use list_text_embedding_catalog to browse the curated catalog.
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  • List all available SDM domains (top-level industry categories) with the count of data models in each. Use this as the entry point when the user wants an overview of what sectors are covered, or before calling list_models_by_domain. No parameters required. Example: list_domains({})
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Matching MCP Servers

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  • the-committee MCP — wraps StupidAPIs (requires X-API-Key)

  • take-the-meeting MCP — wraps StupidAPIs (requires X-API-Key)

  • Discover available AI models with numeric IDs, tier labels, capabilities, and per-call pricing in sats. Call this before create_payment to find the right modelId for your task. Returns JSON array: [{ id, name, tier, description, price, isDefault, category }]. Models marked isDefault=true are used when you omit modelId from create_payment. Filter by category to narrow results to a specific tool. This tool is free, requires no payment, and is idempotent — safe to call repeatedly.
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  • Deprecated — prefer list_model_channels, which returns stable channel IDs that survive model upgrades. List AI engines (models) tracked by Peec. Use this tool to resolve model names (e.g., "ChatGPT", "Perplexity", "Gemini") to IDs before filtering reports (model_id filter/dimension), and to label model IDs from report output with their human-readable names before presenting results. Match user-supplied names against the name column; the id column is the canonical string to pass back as model_id. is_active indicates whether the model is enabled for this project — inactive models will return empty data in reports. Returns columnar JSON: {columns, rows, rowCount}. Columns: id, name, is_active.
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  • List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.
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  • List forecast (timeseries) models currently loaded on this node. Use list_forecast_catalog to browse available models from the curated catalog.
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  • Get the most recent real-time price for one or more feeds. Requires an `access_token` parameter (get one at https://docs.pyth.network/price-feeds/pro/acquire-access-token). Use get_symbols first to find symbols or feed IDs. IMPORTANT: symbols must be the full name including asset type prefix (e.g. 'Crypto.BTC/USD', not 'BTC/USD'). If both price_feed_ids and symbols are provided, only price_feed_ids are used. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience.
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  • List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.
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  • List all custom evaluation models for the authenticated user. Returns an array of model objects with id, name, description, and status. Use model id in artifact, rubric, and evaluation tools. Free.
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  • Advanced: Submit a pre-signed transaction to Solana. Only needed if you used create_stake_transaction/create_unstake_transaction/withdraw_stake and signed locally. Most agents should use the one-shot stake/unstake/withdraw tools instead.
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  • Verify a contact by submitting the OTP code sent to it. The user must check their email for the 8-digit code. After verification, the contact can be used on mandates.
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  • Get comprehensive bias analysis for a news source. Returns: - source_name, slug_name, page_url - articles_analyzed: total articles in the bias database for this source - avg_social_shares: average social shares per article - emotionality_score (0-10): how emotional the writing is - prescriptiveness_score (0-10): how much the source tells readers what to think/do - bias_scores: dict of all measured bias dimensions with scores (-50 to +50 for bipolar, 0 to +50 for unipolar). WARNING: this endpoint returns emoji-prefixed display keys (e.g. '🔵 Liberal <—> Conservative 🔴') rather than the plain-text keys used by get_bias_from_url, get_all_source_biases, and search_news (e.g. 'liberal conservative bias'). Do not attempt to cross-reference bias_scores keys here with bias_values keys from other endpoints. - bias_description: AI-generated overall bias summary narrative - liberal_conservative_description: narrative on political leaning - libertarian_authoritarian_description: narrative on authority stance - signature_phrases: words/phrases uniquely overrepresented vs other sources - signature_negative_phrases: uniquely negative/alarming phrases - most_shared_phrases: phrases in their most viral articles - most_emotional_phrases: phrases used in their most emotional articles - pays_for_traffic_keywords: keywords this source buys ads for - similar_sources: sources with the most similar bias profile - most_different_sources: sources with the most different bias profile - trends_graph_url: URL to a chart of this source's coverage volume over time - bias_plot_urls: dict of 2D bias scatter plot image URLs (political_lib_auth, subjective_objective, informative_opinion, oversimplification_factful) — only present when available - recent_articles: list of most recent articles with full article fields and per-article bias_values Throws an error if the source is not found. Args: source: Source name (e.g. 'Fox', 'CNN', 'Reuters'). Slug-style input (e.g. 'fox-news') is NOT supported — use full name or domain only. recent_articles: Number of recent articles to include (1-50, default 10).
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  • Query The Hive — x711's collective agent memory. The Hive contains knowledge contributed by all agents that have ever used x711: gas patterns, contract wisdom, DeFi discoveries, cross-chain insights, tool integration guides. Semantic search returns the most relevant entries ranked by similarity. Use before tx_simulate to get contract-specific hive wisdom. Use as a knowledge base for any on-chain or AI-agent topic. Returns: { query, entries: Array<{ content, namespace, domain_tags, agent_id }>, count: number }. Free tier: 10 calls/day.
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  • Use when valuing a business, setting hurdle rates, or benchmarking discount rates for M&A analysis or capital allocation. WACC benchmarks by sector and market cap tier from Damodaran annual dataset — used for DCF valuation, M&A pricing, board approval, and capital allocation. The most cited public finance benchmark. Updated January annually.
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  • Create a hosted checkout session (e.g. Stripe) to deposit funds into your wallet. Returns a checkout URL where you or your user can complete the payment. After successful payment, the wallet is automatically credited. Use this before fund_task if your wallet balance is insufficient. Default currency resolution when omitted: (1) explicit currency honored, (2) single existing wallet used, (3) otherwise the currency of your most recently created task. No stale USD default. Requires authentication.
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