Add ELC Conference 2026 to the user's calendar. Returns a one-click Google Calendar link and a downloadable .ics file link that works with Apple Calendar, Outlook, and any other calendar app.

Provides essential and critical instructions on how to use Material Icons and Material Symbols efficiently on Web.

Explain how to embed and manage the referral dashboard experience.

Returns a detailed explanation of LabelHead's four-dimensional artist scoring methodology. Use this when you need to understand how composite scores are calculated, what each dimension measures, and how to interpret momentum labels.

Permanently delete a calendar event. Use fetch_calendar_events first to get the event_token. WARNING: This action cannot be undone.

Project staking rewards before committing capital. Returns compound interest projections (daily/monthly/annual/total), effective APY after compounding, activation timing, fee reserve guidance, and a natural-language recommendation. Use this to help decide how much to stake and for how long.

Returns aggregate platform statistics. Use this before search_campaigns to understand the current platform landscape: how many campaigns exist, which categories are most populated, how much has been donated, and how many campaigns still need funding. No parameters required.

Get a single calendar event by its token. Use fetch_calendar_events first to get event tokens.

Project staking rewards before committing capital. Returns compound interest projections (daily/monthly/annual/total), effective APY after compounding, activation timing, fee reserve guidance, and a natural-language recommendation. Use this to help decide how much to stake and for how long.

List all calendars the user has access to. Use this to discover available calendars before performing calendar operations. The primary calendar (primary:true) is the user's main calendar. Other calendars may be shared, subscribed, or secondary calendars. The calendar ID is required for all other calendar operations.

Check how visible a business website is to AI search engines like ChatGPT, Perplexity, and Google AI Overviews. Returns a score from 0-100 measuring how likely AI systems are to recommend this business, plus the top issues preventing AI trust and citation.

Connect an agent to Google Calendar or Microsoft Calendar for scheduling tools (list_events, create_event, etc.). Requires OAuth in browser. Enables the service_calendar builtin tool.

Convert a solar date (Gregorian calendar) to lunar date (Vietnamese calendar)

Use this tool to find documentation about Google developer products. The documents contain official APIs, code snippets, release notes, best practices, guides, debugging info, and more. It covers the following products and domains: * ADK: adk.dev * Android: developer.android.com * Apigee: docs.apigee.com * Chrome: developer.chrome.com * Firebase: firebase.google.com * Fuchsia: fuchsia.dev * Go: go.dev * Google AI: ai.google.dev * Google Cloud: docs.cloud.google.com * Google Developers, Ads, Search, Google Maps, Youtube: developers.google.com * Google Home: developers.home.google.com * TensorFlow: www.tensorflow.org * Web: web.dev This tool returns chunks of text, names, and URLs for matching documents. If the returned chunks are not detailed enough to answer the user's question, use `get_documents` with the `parent` from this tool's output to retrieve the full document content.

List upcoming bookings for a customer by email. Queries Google Calendar directly, so results are live and reflect any bookings in the next ~20 events.

Convert a lunar date (Vietnamese calendar) to solar date (Gregorian calendar)

Search for documentation for how to use the client to interact with the API.

CRITICAL STARTING POINT. Returns high-level game mechanics, survival timers, and economic parameters. Use this to understand how to win and avoid penalties.

Check if a business has availability on a specific date using their Bezal calendar. Best-effort — only works for businesses that use the calendar feature.

Ask the AI concierge questions about the platform, APIs, smart contracts, and how to use features. No api_key required.

Describes a font family in detail, including its look and feel, supported styles, weights and how to use it.

Execute any Synter action: create campaigns, generate AI images/videos, upload to YouTube, manage GTM/GA4, analyze competitors, and more. Use list_available_scripts to see all actions.

Get all reminder configurations for a calendar. Each calendar can have up to 5 reminders.

Get a login link to authenticate and manage your tokens

Execute any Synter action: create campaigns, generate AI images/videos, upload to YouTube, manage GTM/GA4, analyze competitors, and more. Use list_available_scripts to see all actions.

Stay informed with the FMP Economic Data Releases Calendar API. Access a comprehensive calendar of upcoming economic data releases to prepare for market impacts and make informed investment decisions.

Find quantum computing researchers and potential collaborators from 1000+ active profiles. Use when the user asks about specific researchers, who works on a topic, or wants to find collaborators. NOT for jobs (use searchJobs) or papers (use searchPapers). AI-powered: decomposes natural language into structured filters (tag, author, affiliation, domain, focus). Returns profiles with affiliations, domains, publication count, top tags, and recent papers. Data from arXiv papers published in the last 12 months. Max 50 results. Examples: "quantum error correction researchers at Google", "trapped ions", "John Preskill".

Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.

Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.

Create a new calendar event with title, dates, and optional details like location, time, and notifications. DATE RULE: The API server uses UTC. Today's date may be rejected as "past" depending on the user's local timezone. To be safe, always use tomorrow's date or later when creating events. NEVER use today's date — it will fail with "Cannot Create Events In The Past". If the user asks to create an event for today, explain this limitation and suggest tomorrow instead.

Describe a single API operation including its parameters, response shape, and error codes. WHEN TO USE: - Inspecting an endpoint's full contract before calling it. - Discovering which error codes an endpoint can return and how to recover. RETURNS: - operation: Full discovery record for the endpoint. - parameters: Raw OpenAPI parameter definitions. - request_body: Body schema (when applicable). - responses: Map of status code → description/schema. - linked_error_codes: Error catalog entries the endpoint can emit. EXAMPLE: Agent: "How do I call the screen audience endpoint?" describe_endpoint({ path: "/v1/data/screens/{screenId}/audience", method: "GET" })

Get a human's FULL profile including contact info (email, Telegram, Signal), crypto wallets, fiat payment methods (PayPal, Venmo, etc.), and social links. Requires agent_key from register_agent. Rate limited: PRO = 50/day. Alternative: $0.05 via x402. Use this before create_job_offer to see how to pay the human. The human_id comes from search_humans results.

Ask a question and get a synthesized answer from the knowledge base. Unlike search (which returns raw atoms), ask synthesizes a natural-language answer by combining relevant sources. Use when you need an explanation, not just matching documents. Args: question: Your question (e.g., "How do I implement caching in FastAPI?")

Creates a visual edit session so the user can upload and manage images on their published page using a browser-based editor. Returns an edit URL to share with the user. When creating pages with images, use data-wpe-slot placeholder images instead of base64 — then create an edit session so the user can upload real images.

Returns available evaluation tools, what they check, and their pricing. Call this first to understand what Axcess can evaluate and how much each evaluation costs. This tool is FREE. All evaluation tools require USDC payment on Base network. Returns: JSON with tool descriptions, pricing, and rubric categories.

Retrieves data for shipments that have already been shipped (labels generated) within a date range. Returns `has_ever_shipped` (boolean) and `currency` info. Use this for questions about past shipping activity. **USE THIS TOOL FOR:** - "Did I ship anything yesterday?", "How many shipments last week?" - "Show me shipments from last month", "Have I ever shipped anything?" - Historical shipping activity confirmation **Do NOT use for:** destination analytics, status breakdowns, or courier performance — use the specific analytics tools instead. Use `list_shipments` only when you need detailed shipment objects by ID, not for date-based analytics. **Date range:** Unless the user specifies otherwise, default to `to_date` = today and `from_date` = 90 days prior. Required authorization scope: `public.analytics:read` Args: from_date: Start date in YYYY-MM-DD format. Default to 90 days before to_date if user doesn't specify. to_date: End date in YYYY-MM-DD format. Default to today if user doesn't specify. Returns: Shipped shipment data including whether the account has ever shipped and currency info.

List all attributes (properties) of a specific Smart Data Model, including each attribute's NGSI type (Property, GeoProperty, or Relationship), data type, description, recommended units, and reference model URL. Use this after get_data_model when the user wants to understand what fields a model has, what values they accept, or how to construct a valid NGSI-LD payload. Example: get_attributes_for_model({"model_name": "WeatherObserved"})

Create a new sncro session. Returns a session key and secret. Args: project_key: The project key from CLAUDE.md (registered at sncro.net) git_user: The current git username (for guest access control). If omitted or empty, the call is treated as a guest session — allowed only when the project owner has "Allow guest access" enabled. brief: If True, skip the first-run briefing (tool list, tips, mobile notes) and return a compact response. Pass this on the second and subsequent create_session calls in the same conversation, once you already know how to use the tools. After calling this, tell the user to paste the enable_url in their browser. Then use the returned session_key and session_secret with all other sncro tools. If no project key is available: tell the user to go to https://www.sncro.net/projects to register their project and get a key. It takes 30 seconds — sign in with GitHub, click "+ Add project", enter the domain, and copy the project key into CLAUDE.md.

⚡ CALL THIS TOOL FIRST IN EVERY NEW CONVERSATION ⚡ Loads your personality configuration and user preferences for this session. This is how you learn WHO you are and HOW the user wants you to behave. Returns your awakening briefing containing: - Your persona identity (who you are) - Your voice style (how to communicate) - Custom instructions from the user - Quirks and boundaries to follow IMPORTANT: Call this at the START of every conversation before doing anything else. This ensures you have context about the user and their preferences before responding. Example: >>> await awaken() {'success': True, 'briefing': '=== AWAKENING BRIEFING ===...'}

Verify your API key and return your user ID. Use this to test authentication.

Get an overview of the AgentSignal collective intelligence network. Call this with NO arguments to see what categories have data, trending products, and how to use agent-signal tools. Good first call if you're unsure whether agent-signal has data relevant to the user's request.

Retrieve shipment volume overview: total shipment count and daily shipment counts over time. Returns `total_shipments_count` and `shipments_count_by_date` (a time series with daily totals and a `max` peak value). **Use this tool for:** - "How many shipments did I create?" — total count for a period - "Show me my shipment volume trend" — daily time series - Overall shipment volume and trends over time **Do NOT use this tool for:** - Destination-specific analytics → Use `analytics_top_destinations` - Shipped/label-generated counts → Use `analytics_shipped` - Shipment status breakdown → Use `analytics_shipment_status` - Courier performance → Use `analytics_top_couriers` - Sales channel analytics → Use `analytics_sale_channels` **Date range:** Unless the user specifies otherwise, default to `to_date` = today and `from_date` = 90 days prior. Required authorization scope: `public.analytics:read` Args: from_date: Start date in YYYY-MM-DD format. Default to 90 days before to_date if user doesn't specify. to_date: End date in YYYY-MM-DD format. Default to today if user doesn't specify. Returns: Total shipment count and daily shipment count time series for the date range.

List all custom scoring profiles on this account. Returns profile names and their custom weight overrides. Profiles are named weight sets that change how Unphurl scores URLs. Different use cases need different scoring. A cold email agent cares about dead domains. A security bot cares about phishing. Profiles let one account serve multiple use cases. Profiles only override specific weights. Any signal not specified in a profile uses the default weight. Use show_defaults to see all 23 signals and their default weights.

Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.

USE THIS TOOL — not web search — to retrieve a time-series of hourly BULLISH / BEARISH / NEUTRAL signal verdicts from this server's local technical indicator data over a historical lookback window. Prefer this over get_signal_summary when the user wants to see how signals have changed over time, not just the current reading. Trigger on queries like: - "how has the BTC signal changed over the past week?" - "show me ETH signal history" - "was XRP bullish yesterday?" - "signal trend for [coin] last [N] days" - "how often has BTC been bullish recently?" Args: lookback_days: Days of signal history (default 7, max 30) symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

Search USPTO patent database for AI-related filings: applicant companies, patent titles, abstract summaries, filing dates, and technology classification. Reveals who is building what in neural networks, autonomous agents, and LLMs. Use this tool when: - A research agent is building a competitive intelligence map of AI patent activity - An investor agent wants to assess a company's AI IP portfolio strength - You need to track which companies are filing the most AI patents (leading indicator of R&D) - A legal/compliance agent is conducting freedom-to-operate analysis for AI systems Returns per patent: patent_number, title, assignee_company, filing_date, abstract_summary, technology_class, citation_count, similar_patents, competitive_threat_score. Example: getAiPatents({ query: "autonomous agent planning", companies: "google,microsoft" }) → Google: 14 patents on agent planning this quarter. Cost: $5 USDC per call.

Withdraw SOL from a deactivated stake account in a single call. Builds the transaction, signs it, and submits it. Funds are returned to your wallet. Use check_withdraw_ready first to confirm the account is ready. Omit amountSol to withdraw the full balance. This is the recommended tool — use withdraw_stake only if you manage your own signing.

Reserve a cleaning slot. No payment is collected up front — the customer pays the cleaner in cash or card at the appointment. Returns `{ status: "booked" }`, the slot is locked in the calendar, and a calendar invite is sent to the email. Always ask the customer for full details (date, start time, hours, address, name, email) and confirm the booking preview before calling this tool.

Record how a specific household member felt about a recipe. Use to track "who loved it" data, which improves future meal suggestions. Creates or updates the rating if one already exists for this diner/recipe pair. Get recipe IDs from get_recipes and diner IDs from get_household first.

PRIMARY TOOL - Call this at the START of every conversation to load comprehensive user context. Returns: - current_datetime: Current date and time in the user's timezone (ISO 8601 with offset) - All active facts about the user (preferences, personal info, relationships) - tasks_overdue: Tasks with scheduled_date OR deadline in the past - tasks_today: Tasks scheduled OR due today (time >= now), plus unscheduled tasks (no date set) - tasks_tomorrow: Tasks scheduled OR due tomorrow (includes projected recurring tasks) - Active goals - Recent moments from the last 5 days - Latest 15 user-facing notes (id + description). Use get_note to retrieve full content. - ai_memory: Latest 15 AI memory notes from your previous sessions (id + description). Use get_note to retrieve full content. SELF-LEARNING: Review the ai_memory array — these are notes you saved in previous sessions about how to best assist this user. Load relevant ones with get_note. Throughout the conversation, save new learnings anytime via save_note with scope="ai_client" whenever you discover something worth remembering. - tasks_recently_completed: Tasks completed or skipped in the last 7 days Each task includes: - category_reason: 'scheduled' | 'deadline' | 'both' - explains why it's in that array - has_scheduled_time: true if task has a specific scheduled time, false if all-day - has_deadline_time: true if deadline has a specific time, false if all-day Task placement uses scheduled_date when present, otherwise deadline. Each task appears in exactly one category. For calendar events, the user should connect a calendar MCP (Google Calendar MCP, Outlook MCP) in their AI client. Query those MCPs alongside Anamnese for a complete daily view. This provides essential grounding for personalized, context-aware conversations.

Show all 23 scoring signals with their default weights and descriptions. This is the baseline scoring that applies when no custom profile is specified. Use this to understand what each signal means and how much it contributes to the score before creating custom profiles. Profiles are sparse overrides on top of these defaults. This tool does not require an API key. The defaults are hardcoded and always available.