"A platform for analyzing crypto narratives based on macroeconomic events and cultural trends" matching MCP tools:

• list_events

  travel-trends-mcp

  List detected travel-disruption events for EU-27 tourism. Use this tool to browse or filter current disruption events across countries; for a question about one specific trip, use assess_trip. Events are deterministic, rule-based detections over published live snapshots and monthly indicators — thresholds are disclosed in each event record; nothing is model-generated here. Filters: status (e.g. "active"/"resolved"), country (EU-27 ISO2, Greece = "EL"), domain (e.g. "weather", "aviation"), min_severity on the ordered scale info < watch < warning < severe. Returns {count, events, filters}; on missing index returns {"error": "unavailable"}.

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• palette_strict

  Colour Memory

  Like palette_concept but with archive filtering and relevance controls. Use allowed_archives to restrict results to specific cultural traditions e.g. ['Japan'] for Japanese only. Use min_relevance to filter weak concept matches. Fixes cross-archive drift when cultural specificity matters. The result already carries the rendered palette and its PNG, PDF, ASE, JSON and CSS downloads -- show them to the customer. Never present the archive anchors a colour was derived from as the colours you are recommending. If you go on to choose a final palette OF YOUR OWN from this evidence, call palette_finalize once with those exact colours so the customer can see and download what you actually recommended.

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• palette_strict

  Colour Memory

  Like palette_concept but with archive filtering and relevance controls. Use allowed_archives to restrict results to specific cultural traditions e.g. ['Japan'] for Japanese only. Use min_relevance to filter weak concept matches. Fixes cross-archive drift when cultural specificity matters. The result already carries the rendered palette and its PNG, PDF, ASE, JSON and CSS downloads -- show them to the customer. Never present the archive anchors a colour was derived from as the colours you are recommending. If you go on to choose a final palette OF YOUR OWN from this evidence, call palette_finalize once with those exact colours so the customer can see and download what you actually recommended.

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• get_crypto_trend

  Coil Scanner

  Bitcoin and Ethereum trend signal: the long-only state for each sleeve (LONG or CASH), the 50-day trend gate each trades on, and the BTC 200-day master gate that overrides both — evaluated on UTC daily closes, with price and day change. A rules-based risk-on/risk-off verdict for crypto, not raw price data. Free tier: exactly one completed UTC close behind — evaluated every calendar day, weekends included, and stamped with the close it used (signal_close_date). Live sibling on the newest close (x402, pay-per-call): get_crypto_trend_live.

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• cc.economic_calendar

  Central Command

  Call cc.economic_calendar — Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Purpose: Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~3600s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.001 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: 60/min (per API key). Tier: standard. Returns: Array of events with dates, countries, impact level, forecast/actual/previous values. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: macro, calendar, fomc, cpi, nfp, economic.

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• cc.economic_calendar

  Central Command — x402 Trading Intelligence

  Call cc.economic_calendar — Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Purpose: Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~3600s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.001 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: 60/min (per API key). Tier: standard. Returns: Array of events with dates, countries, impact level, forecast/actual/previous values. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: macro, calendar, fomc, cpi, nfp, economic.

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• niche_intelligence_query

  Niche — Editorial Intelligence

  Niche (nicheangle.com) research and analysis: answer an analyst-shaped question over fresh-scanned sources and get an intelligence answer as the deliverable, not a single post. Use for: 'the 10 biggest developments in X this week', 'what's emerging before it goes mainstream', 'where is investment activity rising', 'find 3 non-obvious narratives to publish on LinkedIn'. The answer is the ranked slate plus engine-grounded narratives or patterns: every narrative cites real slate stories and is fact-verified by a second pass (no source, no narrative). This uses the same engine as the Niche web app, so both surfaces return the identical grounded answer; do not synthesize your own narratives over the slate, present these. Non-blocking: returns a `session_id` immediately (under 2s). Poll niche_session_state every ~3-5s. At status == cp1_awaiting_story the ranked slate (`stories[]`) is ready; present it right away. Synthesis runs concurrently and usually lands 20-90s after the slate (hard cap ~2 min); if you requested it, call niche_session_state(wait:30, wait_until:'synthesis') and repeat until `synthesis_pending == false` (usually 1-3 calls); don't give up early, you'll always get `synthesis[]` or a `synthesis_shortfall_note`. With synthesis:'none', `synthesis` stays null and `synthesis_pending` is false at cp1, so stop there. To turn a narrative into a post, pick its supporting story id and call niche_angle_propose; no new scan needed. BRAND: omit brand_id and a single/default brand binds automatically; on a MULTI-brand account you'll get `brand_choice_required` with `brand_options[]` (the query still runs). Ask the user which brand before drafting. Pass brand_id to bind one, or 'none' for unbranded.

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• tengu_crypto_overnight

  tengu-firm

  Overnight crypto DATA book for Brain/Platform: a SLICE of GET /api/crypto/universe (the full liquid USD book, stables out, $1M floor) ordered by |24h change|. This is NOT the sitting universe — do not treat the default 25 movers as FIRM's book. Bare symbols (BTC not BTC-USD), volume, as_of, optional sentiment/whale flags. EVERY row is kind=data_context — NOT a Tengu score or prediction. FIRM has no crypto model; crypto_available stays false. Fail-closed 503 when the snapshot book is stale. Fail-closed place path: 503 bodies are ok:false with placement.fail_closed=true and X-Error-Code — do not place on a stale book. FIRM never places. Do NOT call /score, /intel/ml_prediction, or /execution/* with asset_class=crypto (those 404 crypto_model_unavailable on purpose — do not size from equity ADV). Collision tickers here are the coins, never the equity twins. Auth: X-API-Key.

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• deltasignal_daily_changes

  DeltaSignal ATLAS-7

  Use this read-only monitoring tool to retrieve the latest meaningful DeltaSignal daily change snapshot. It highlights tracked crypto filing deltas, newly discovered crypto issuers, source dates, computed timestamps, classification summary, and change statistics. Parameters: none; call it exactly as-is when the user asks what changed today or needs a monitoring summary. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write notifications, files, accounts, or wallet state. Use it for daily monitoring and freshness narratives; use readiness for service health and issuer-specific tools for detailed research on any ticker it mentions.

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• purchase_hotel

  mcp

  Book a hotel room by providing guest details and a rate ID from get_hotel_details. Creates a guest profile, adds the room to a cart, and initiates checkout. Returns a payment_url and an x402 payment challenge by default (USDC on Base). Set payment_service to 'coingate' to return a browser-based crypto payment URL instead. The booking is confirmed once payment settles; poll get_order_details to check status.

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• list_events

  ClearMarket

  Browse or search ClearMarket prediction-market events. Filter by category, platform, Resolution Clarity Grade, or free-text `q`. `q` is token-AND across question + tags, so SHORT KEYWORD queries match best ("microstrategy bitcoin", "fed rate") — natural-language phrases often return nothing. Returns compact graded summaries: slug, question, venues_covered, primary grade, rcg_score (0-100, for ranking clarity), last_price, and status (open / resolved). Start here when you have a topic but not a slug; then call get_event for the full graded record. Categories: economics, financials, crypto, companies, technology, politics, geopolitics, health, climate.

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• query_conceptual

  Colour Memory

  Ask a cultural, historical, or material colour question. Returns named archive colours with provenance and cultural context. Works for abstract queries like 'grief' (returns Ophelia Violet, Titan's Grief), 'toxic Victorian pigments' (returns Nightshade Poison Berry Purple, Victorian Arsenic Mirror Silver), or 'the sea at dusk' (returns Evening Sea, Thames Blue Dusk). Even a vague or personal-sounding query never comes back empty -- result_path in the response tells you honestly whether this was a 'direct' hit, a 'broadened' retry (relaxed match threshold), or a 'redirected' fallback (dropped an archive restriction or switched to full-corpus semantic search).

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• colour_cultural_risk

  Colour Memory

  Cultural risk assessment for a hex value or palette (symbolic weight, regional taboos, religious associations, market flags). This is one component of colour_passport for single colours. Use colour_passport for a general profile; call this directly for palette-level risk checks or when cultural risk is the only thing being asked about.

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• get_trending

  canton-ccpedia

  Get this week's most popular/trending Canton Network content (CIPs, forum threads, docs, blog, etc.) ranked by an engagement score. Canton-specific. Not general crypto/social/news trends. Use for 'what's hot/popular on Canton right now'; use get_recent_changes instead for a chronological 'what changed recently' feed.

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• search_graph

  Fodda Deep Research

  Find trends, signals, and expert insights across 100+ curated knowledge graphs covering retail, beauty, tech, food, travel, sports, and 30+ specialist domains. Returns trend data with cited evidence, source attribution, and lifecycle stage (emerging/building/mature/fading) — not generic web summaries. If graphId is omitted, searches ALL accessible graphs in parallel (recommended default). Use for market trends, competitor analysis, innovation signals, consumer behavior, cultural shifts, or any topic where curated expert intelligence outperforms web search.

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• get_vehicle_history

  OpenDealer MCP Server

  Get OpenDealer listing history for a VIN: price changes, days on lot, and status. Answers "has this VIN dropped in price" and days-on-lot narratives from retained snapshots (including vehicles that left a dealer feed). Returns: • Chronological price history with per-snapshot changes • Days on market / lot signals and badges (price_drop, long_on_lot) • Active vs no-longer-listed status when known Does not invent a deal score for sold vehicles — use get_deal_score for live market scoring. Essential for price_drop_sniper and vehicle_dossier playbooks when shoppers ask about reductions or negotiation leverage. CRITICAL: Only use URL fields from the response when present. NEVER invent URLs.

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• get_cross_market_correlation

  OneQAZ Trading Intelligence

  Purpose: Cross-market lead-lag relationships and decoupling events. Shows how markets influence each other (correlations) and when they diverge (decoupling, e.g. BTC up while stocks down). Triggers (casual questions too): "do crypto and stocks move together?", "코인이랑 주식이 따로 노나?", "any decoupling lately?", "시장끼리 상관관계 어때?", "is BTC tracking the Nasdaq?". When to call: when analyzing macro regime changes or divergent signals. Prerequisites: none. Next steps: get_macro_influence_map for the static causal hypotheses. Caveats: correlation data may be empty until enough regime changes accumulate. Args: source_market: Optional source market filter target_market: Optional target market filter Disclaimer: Information only, not investment advice.

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• deltasignal_daily_changes

  DeltaSignal ATLAS-7

  Use this read-only monitoring tool to retrieve the latest meaningful DeltaSignal daily change snapshot. It highlights tracked crypto filing deltas, newly discovered crypto issuers, source dates, computed timestamps, classification summary, and change statistics. Parameters: none; call it exactly as-is when the user asks what changed today or needs a monitoring summary. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write notifications, files, accounts, or wallet state. Use it for daily monitoring and freshness narratives; use readiness for service health and issuer-specific tools for detailed research on any ticker it mentions.

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• local_vehicle_safety_profile

  NHTSA Vehicle Safety

  Get a vehicle safety profile using national complaint and recall trends. NHTSA complaints are not geocoded by state, so this returns national-level trends as context for local community safety assessments. Includes the most recent recalls and top complained-about vehicle makes. Args: state: Two-letter state abbreviation (e.g. 'CA', 'TX'). Used for crash statistics; complaint data is national.

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• cfpb_company_complaints

  Cfpb

  Get recent complaints against a specific company (e.g., 'Wells Fargo', 'Citibank'). Everyday names are resolved to CFPB's exact registered spelling automatically ("Wells Fargo" -> "WELLS FARGO & COMPANY"), and the response reports which name was actually queried. Returns narratives, company responses, and resolution details sorted newest first.

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