"Resources for Crypto Market Analysis" matching MCP tools:

• get_asset_class_proofA

  mcpA

  [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.

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• generate_framework_analysisA

  jeda-aiA

  Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }

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• get_asset_class_proofA

  n0brainsA

  [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.

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• searchA

  GUTHMANN® Berlin Real EstateA

  Semantic search over guthmann.estate — market insights, reports, neighborhood portraits, listing exposés, project pages and the company's own pages. Hybrid retrieval (vector + keyword, no reranking); one result per page with title, description, image, best-matching snippet and score. Use it for questions that need prose (analysis, context, advice); use the data tools for exact numbers and `listings` for what is currently for sale — the search index follows the website with up to six hours of delay. Parameters: - q: natural-language query, in the language of the pages you want (min 2 characters) - locale: "de" | "en" — language of the indexed pages (default: en) - section: comma-separated filter — "listings" (exposés), "projects" (new-build projects), "market-intelligence" (insights, reports, portraits), "pages" (company, services, guides); omit for all - limit: 1-20 pages (default: 10) Key response fields: - url, title, description, image, section, language - snippet (best-matching text passage), score (0-1)

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• get_video_analysisA

  SocialGPTA

  Get the full analysis (incl. scene breakdown) for a video — owned or public/competitor. Pass `platform` and `post_id` separately (the native post_id from analyze_post or list_videos — not the composite `id` field). Deep analysis runs async (~30-60s): right after analyze_post this returns {"status": "pending", "retry_after_seconds": N} — that is expected, not an error. Wait that long and call again until you get the full analysis. A genuine 404 means the post was never analyzed — call analyze_post(url) first.

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• resolve_entityA

  Sugra MCPA

  Resolve free text to a canonical market or macro entity. Turns a ticker, company name, macro indicator, coin, or currency pair into the agent plane's ``{namespace, ids}`` entity for use with get_snapshot and get_timeseries. A cross-namespace collision (e.g. a ticker that is both an equity and a coin) returns status "ambiguous" with ranked candidates and NEVER silently picks one; pass type_hint (e.g. "equity", "etf", "coin") to narrow the universe. Crypto aliases resolve too (e.g. "bitcoin" -> the BTC coin entity). Status "low_confidence" means the best match cleared resolution but scored weakly - verify the returned entity before building on it, or re-query with a more specific name or type_hint. For compliance KYB lookups by LEI/VAT or sanctions screening use sugra_entity_lookup / sugra_entity_screen instead - this tool is for market-data entities. Args: query: Free-form text - ticker, company, indicator, coin, or pair. type_hint: Optional namespace hint narrowing resolution.

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• patternfetch_briefA

  patternfetchA

  Get a token-compact market-state brief for a stock, ETF, or crypto ticker + timeframe. Returns compact candles, detected chart/candlestick patterns with geometric confidence AND a backtested historical base rate (how often that pattern+timeframe+confidence-band actually resolved its way), support/resistance levels, trend/regime, and interpreted indicators (RSI/EMA state) plus a one-line summary. Covers US stocks/ETFs (split & dividend adjusted, delayed/EOD) and crypto spot (realtime). WHEN: an agent needs the current technical picture of a market without dumping raw OHLCV into context (saves tokens, avoids numeric hallucination). WHEN NOT: you need order execution or portfolio advice. Examples: {"ticker":"AAPL","timeframe":"1d"}, {"ticker":"BTC/USDT","timeframe":"4h"}. Output is impersonal market data, NOT investment advice.

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• uninstall_templateA

  Control PlaneA

  Uninstall a release and remove the resources it created, including volume data. Use it, not delete_resource, for anything install_template created. Provide the release `name`.

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  Destructive

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• get_crypto_newsA

  Crypto Data & Market Analysis AgentA

  Recent crypto headlines for narrative context and catalysts. Summarize in your own words with attribution to the reporting outlet; do not reproduce articles.

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• generate_strategic_reviewA

  TrendIdeaA

  Generate an executive-level strategic review report for an idea, synthesising all available validation data (market research, competition, SWOT, revenue model, VC score) into a concise go/no-go assessment with actionable recommendations. Requires prior validation data (run request_revalidation first if none exists). Returns cached report instantly if one exists, otherwise generates fresh analysis. Spends 2 credits only when generating new content. Not read-only; pass an ideaId you own.

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• get_carbon_market_overviewA

  Trustbase Lab · Trusted Data Infrastructure for the AI EraA

  Purpose: one-call overview of the carbon market layer - dated carbon price snapshots (EU ETS auction/settlement, China national ETS), market size statistics and allowance allocation rules, each with its issuer and source. Guidelines: use for "what is the carbon price / how big is the market / how are allowances allocated" style questions; filter by market to narrow to the EU or China. Limits: prices are dated snapshots from the cited sources, NOT live quotes; currencies are not converted, so do not compare across currencies without an FX rate. Ex: get_carbon_market_overview(), get_carbon_market_overview(market='cn'), get_carbon_market_overview(market='eu', language='en'). ⭐ Scope: ONE market at a time - price + market size + allocation rules together. For a side-by-side comparison across markets (who is more expensive, what is the spread), use compare_carbon_prices instead.

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• markets_dashboardA

  TradingMCPB

  The user's live market board. Start here when they ask how the markets are doing in general: "how are the markets today?", "what's moving?", "market update", a morning check before the open, or "open the market dashboard". One call covers the overview: the user's own symbols on top (their watchlist, then what they asked about most in the last 30 days), then major indices (US, India, Türkiye, Indonesia, VIX), crypto, commodities and FX, each with today's change. Don't also call market_snapshot for the same overview; add other tools only for what the board doesn't show (futures, news, sectors). For a single symbol's price or analysis, use that symbol's own tool instead. Opens as an interactive dashboard; clicking a row asks for that market's chart or analysis. Clients without app support can read the `summary` field.

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• get_crypto_newsA

  Crypto Data & Market Analysis Agent (CryptoMacro)A

  Recent crypto headlines for narrative context and catalysts. Summarize in your own words with attribution to the reporting outlet; do not reproduce articles.

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• classify_market_segmentA

  MangroveAIB

  Classify one stretch of market: a date range, or a catalog window by file name. Explicit date ranges require daily (1d) candles; catalog windows retain their stored interval. Returns its direction band, volatility band, trend character and the three features behind them, using the same labels the sweep catalog carries. Use it for a period the person names, or to see what a window a sweep selected contains. For an asset's current conditions use get_market_regime instead. Volatility reads `unscored` when no fitted band covers the stretch's length; the bands come back with it. For an exact crypto market, supply quote_token and market_data_venue together. A date range covers crypto and the stocks, ETFs, commodities and bonds in Oracle's regime catalog: SPY, QQQ, DIA, IWM, AAPL, AMD, AMZN, COST, GOOGL, HD, JNJ, JPM, META, MSFT, NFLX, NVDA, PG, TSLA, UNH, WMT, XOM, GLD, SLV, USO, GOLD (gold futures), CRUDE (crude oil futures) and TLT. Without explicit source arguments, those tickers are read from their exchange-session daily series, even where a crypto token shares one (DIA and META are the ETF and the stock here); any other ticker is read as crypto, so a stock not named here cannot be read. Explicit market or provider arguments select the crypto history path. `venue` says which feed was read. A listed ticker needs at least 15 sessions with a close, about three weeks; anything shorter is refused as too little history. [Access: pay 0.02 USDC via x402 (PAYMENT-SIGNATURE header) OR authenticate with an API key. An x402-capable client will auto-pay; API-key clients pay nothing per call.]

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• latest_newsA

  NewsdataA

  Get news headlines and articles — world news, breaking news, and business/financial/stock-market news. Filter by keyword, country (2-letter, e.g. "us"), category (business, technology, politics, sports, health, science), and language. IMPORTANT: for stock-market / financial-market / economy / "world market news" questions, ALWAYS pass category: "business" — it returns real market-news outlets and filters out low-quality SEO/crypto-promo articles. Returns article title, description, link, source, publish date, category, and country. Paginate via the nextPage token. WITHOUT from_date/to_date this covers only roughly the LAST 48 HOURS (NewsData.io's rolling "latest" feed) — asking about an older event with no date window silently returns today's unrelated articles instead of an empty result. For a PAST date range, pass from_date/to_date (YYYY-MM-DD): this routes to NewsData.io's archive endpoint, which requires a plan tier above the shared platform key's default — if the account cannot serve it, the call returns a `filter_gap` field naming the unsupported window instead of silently substituting the latest 48h. Examples: latest_news({ query: "stock market", category: "business" }) for current world market news; latest_news({ query: "election", country: "us", category: "politics" }); latest_news({ query: "Houthi Yemen attack", from_date: "2026-08-01", to_date: "2026-08-15" }) for an August event.

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• panda_delete_ai_resourceA

  Panda VideoB

  Delete ONE AI package resource of a video in one language (eBook, mind map or quiz) — cannot be undone: its content, PDF, images and the published file are removed, also for legacy resources. Same as the dashboard's Remove. Refused while it is still generating (checked before deleting; if that check fails nothing is deleted). Other languages and resources stay. To remove a failed generation card use panda_delete_ai_workflow.

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  Destructive

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• get_market_sampleA

  Crypto PulseA

  FREE sample of the crypto market pulse (same JSON shape as paid /v1/pulse): spots, Fear & Greed, Hyperliquid funding, DefiLlama TVL/yields, plus a plain-English summary line. Data may be up to 15 minutes old. Use get_market_pulse for live paid data.

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• get_market_sampleA

  Crypto PulseA

  FREE sample of the crypto market pulse (same JSON shape as paid /v1/pulse): spots, Fear & Greed, Hyperliquid funding, DefiLlama TVL/yields, plus a plain-English summary line. Data may be up to 15 minutes old. Use get_market_pulse for live paid data.

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• analyze_trackA

  StudioSphere Pulse — Audio IntelligenceA

  Run audio analysis on a public audio URL. Requires estimate_cost to be called first (job_estimate_id). Requires PULSE_API_KEY. Before calling, you MUST confirm with the user that they have a lawful basis to submit this audio for analysis. For a user-requested folder, project, playlist, or batch, one confirmation can cover every track in that scope. Returns job_id — poll get_job_status for results. If processing or payment returns estimate_pricing_changed, get a fresh free estimate with estimate_cost, present the new price, and wait for explicit user approval before processing or payment. Never silently retry analysis or purchase.

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• searchA

  OneQAZ Trading IntelligenceA

  Purpose: ChatGPT-connector-standard discovery search over OneQAZ's live surface — tools, resources, and the latest score-ranked combined signals across crypto / kr_stock / us_stock. Returns result ids consumable by the `fetch` tool. Triggers: ChatGPT connectors and Deep Research call this automatically for any user query routed to OneQAZ ("bitcoin signal", "prediction accuracy", "korean stocks today", ...). Other AI clients may use it as a keyword starting point when unsure which tool/resource to call. When to call: first step of connector-style discovery. MCP-native clients can instead browse tools/list + resources/list directly. Prerequisites: none. Next steps: pass any result id to `fetch` for the full document. Caveats: corpus is rebuilt at most every 10 minutes (tool/resource catalog + top-20 signals by |score| per market). Ticker / company-name queries (BTC, NVDA, 삼성전자) resolve to `signal:{market}:{symbol}` first; market words (S&P, KOSPI, crypto) surface that market's resources. Every result id is fetchable. Empty results come with a `note` explaining coverage. Output: {results: [{id, title, url}], disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Output nature: Observed signal state computed from live market prices each cycle. signal_score is an internal ranking score, not a probability; bias is its sign. Context for the user's question, not investment advice.

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• get_wallet_portfolioA

  Name Whisper — ENS Intelligence LayerA

  Get all ENS names owned by a wallet address. Returns each name with label, tags, expiry, lifecycle status, registration date, and active listing/offer prices. Useful for portfolio analysis and wallet profiling. THE tool for any question about the connected wallet's OWN names by lifecycle window ("my names close to premium" → status:"GRACE_PERIOD"; "my names about to expire" → "EXPIRING_SOON"; "which of mine are in premium" → "PREMIUM_AUCTION"). get_expiring_names is market-wide and cannot answer those. `summary` counts the WHOLE portfolio; `names` is one page of `totalMatching` — page with offset when returned < totalMatching. If you are authenticated via ERC-8128 and omit the wallet parameter, your own wallet is used automatically.

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