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114,650 tools. Last updated 2026-04-21 23:27
  • Catalog of autonomous agents and AI workflows registered on DC Hub. Use when: an agent is bootstrapping and needs to discover peer agents ('what agents are available', 'any DC siting agents I can call'). Returns agent name, capabilities, contact endpoint, and registration date. Call this during agent initialization to ground orchestration. See which agents are using DC Hub and their activity levels. Useful for understanding the DC Hub ecosystem and social proof. Returns: JSON with connected agents, tiers, query counts, and connection info.
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  • Catalog of autonomous agents and AI workflows registered on DC Hub. Use when: an agent is bootstrapping and needs to discover peer agents ('what agents are available', 'any DC siting agents I can call'). Returns agent name, capabilities, contact endpoint, and registration date. Call this during agent initialization to ground orchestration. See which agents are using DC Hub and their activity levels. Useful for understanding the DC Hub ecosystem and social proof. Returns: JSON with connected agents, tiers, query counts, and connection info.
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  • Refund escrowed funds back to the agent (cancel task). The on-chain flow: Escrow contract -> PaymentOperator.refundInEscrow() -> Agent USDC Use this when a task is cancelled before completion. Only works if funds are still in escrow (not yet released). Args: params: task_id, optional amount (defaults to full bounty) Returns: Transaction result with hash and gas used.
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  • Add one or more tasks to an event (task list). Supports bulk creation. IMPORTANT: Set response_type correctly — use "text" for info collection (names, phones, emails, notes), "photo" for visual verification (inspections, serial numbers, damage checks), "checkbox" only for simple confirmations. NOTE: To dispatch tasks to the Claude Code agent running on Mike's PC, use tascan_dispatch_to_agent instead — it routes directly to the agent's inbox with zero configuration needed.
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  • Bulk create subnames under a parent ENS name. Designed for agent fleet deployment — create identities like agent001.company.eth, agent002.company.eth, etc. Each subname can have its own owner and records (addresses, text records). Uses the ENS NameWrapper for subname creation. Returns complete transaction recipes (contract address, encoded calldata, gas estimates) for each subname. Your wallet signs and broadcasts the transactions. Subnames are free to create — only gas costs apply.
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    A multi-agent runtime that coordinates six specialized agents through a typed artifact pipeline with 41 RPC methods. It features dynamic autonomy levels and context sufficiency scoring that adjust agent behavior based on the operator's state and task requirements.
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  • Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.

  • AI orchestration for computational chemistry and HPC workflows.

  • Get all active legal documents an agent must accept on registration. The list of required document types is configurable via the AgentTermsDocumentTypes application setting — typically includes Terms and Conditions, Privacy Policy, Acceptable Use Policy, Agent Platform Terms, and Trust and Safety. Each document includes its type reference, name, version, effective date, and full markdown content. Call this before register_agent so you know what the agent is accepting when setting acceptedTerms=true. No authentication required.
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  • [BUY — Agent Step 2] Confirm your USDC payment and claim the drop. Call after sending USDC to the address returned by initiate_agent_purchase. Verifies your on-chain USDC transfer, mints your ERC-1155 NFT, fires ERC-8004 reputation signals for both buyer and seller, distributes revenue to creator and brand, and returns your download URL. Include buyerAgentId (your ERC-8004 agent ID) for an agent-to-agent trust signal on-chain.
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  • Update an existing official rules document. Use fetch_rules first to get the rules_token. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation.
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  • 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.
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  • Audit a handoff between two chain stages. Returns a context capsule with verified facts from the prior stage and checks structural compatibility of proposed data for the next stage. Use this between chain stages to ensure Agent B receives only verified data from Agent A, and that nothing was mutated in transit. The context capsule contains: - Verified fields and their values from the prior stage - Determinism hash proving the prior stage's results - Blueprint constraints the next stage must satisfy - Compatibility verdict if proposed_data is provided Args: api_key: GeodesicAI API key (starts with gai_) chain_id: Chain identifier from create_chain from_stage: Stage name that completed (Agent A) to_stage: Stage name about to start (Agent B) proposed_data: Optional data Agent B intends to submit — checked for compatibility
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  • Set ENS resolver records for a name you own. Returns encoded transaction calldata ready to sign and broadcast. Supports address records (ETH, BTC, SOL, etc.), text records (avatar, description, url, social handles, AI agent metadata), content hash (IPFS/IPNS), ENSIP-25 agent-registration records, and ENSIP-26 agent context and endpoint discovery. Multiple records are batched into a single multicall transaction to save gas. Common text record keys: avatar, description, url, email, com.twitter, com.github, com.discord, ai.agent, ai.purpose, ai.capabilities, ai.category. ENSIP-25 support: Pass agentRegistration with registryAddress and agentId to automatically set the standardized agent-registration text record. This creates a verifiable on-chain binding between your ENS name and your agent identity in an ERC-8004 registry. ENSIP-26 support: Pass agentContext to set the agent-context text record (free-form agent description). Pass agentEndpoints with protocol URLs (mcp, a2a, oasf, web) to set agent-endpoint[protocol] discovery records. The returned transaction can be signed and submitted directly using any wallet framework (Coinbase AgentKit, ethers.js, etc.).
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  • Refund escrowed funds back to the agent (cancel task). The on-chain flow: Escrow contract -> PaymentOperator.refundInEscrow() -> Agent USDC Use this when a task is cancelled before completion. Only works if funds are still in escrow (not yet released). Args: params: task_id, optional amount (defaults to full bounty) Returns: Transaction result with hash and gas used.
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  • Rate an AI agent after completing a task (worker -> agent feedback). Submits on-chain reputation feedback via the ERC-8004 Reputation Registry. Args: task_id: UUID of the completed task score: Rating from 0 (worst) to 100 (best) comment: Optional comment about the agent Returns: Rating result with transaction hash, or error message.
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  • 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.
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  • [BUY — Agent Step 2] Confirm your USDC payment and claim the drop. Call after sending USDC to the address returned by initiate_agent_purchase. Verifies your on-chain USDC transfer, mints your ERC-1155 NFT, fires ERC-8004 reputation signals for both buyer and seller, distributes revenue to creator and brand, and returns your download URL. Include buyerAgentId (your ERC-8004 agent ID) for an agent-to-agent trust signal on-chain.
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  • Returns the authenticated identity of the calling agent. If you connected with ERC-8128 signed requests, this resolves your wallet address to your ENS name, agent metadata, and portfolio summary. Call this first to confirm your identity is recognized. Requires ERC-8128 authentication (signed HTTP requests). See GET /mcp/auth for setup details.
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  • Get on-chain reputation for an agent from the ERC-8004 Reputation Registry. Provide either agent_id (numeric ERC-8004 token ID) or wallet_address. Args: agent_id: ERC-8004 agent token ID (e.g. 2106) wallet_address: Agent's wallet address (resolved to agent_id) network: ERC-8004 network (default: "base") Returns: Reputation score, rating count, and network info.
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  • Bridge an A2A (Agent-to-Agent Protocol) task to an MCP server. Extracts the intent from the A2A task, maps it to an MCP tool, calls the tool, and wraps the result in A2A response format. Use this to let A2A agents interact with any MCP server. Requires authentication.
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  • FREE — Submit feedback about any Agent Safe tool you used. Helps us improve detection accuracy and tool quality. No charge, no authentication required.
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  • Provision a complete ENS identity for an AI agent in one call. Describe your agent's purpose and budget — get back recommended available names, a multi-step registration recipe (commit → register → set agent records), and ready-to-sign transaction data. The registration recipe includes agent identity records (ENSIP-25: ai.agent, ai.purpose, ai.capabilities + ENSIP-26: agent-context) as a mandatory final step — these records make the agent discoverable in the ENS Agents directory. ENSIP-25 agent-registration binding is included when an agentRegistry is provided. IMPORTANT: The calling AI MUST execute all steps in the recipe, including the final set_ens_records step. Agent identity is not complete until the text records are on-chain. Example: "DeFi trading bot, 0.05 ETH budget" → names like swiftswap.eth with full registration + identity setup instructions.
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  • Lists Compute Engine virtual machine (VM) instances. Details for each instance include name, ID, status, machine type, creation timestamp, and attached guest accelerators. Use other tools to get more details about each instance. Requires project and zone as input.
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  • Returns the step-by-step setup flow for deploying PayRam as an agent. Covers install, wallet creation, faucet funding, contract deployment, and first payment. Includes chain recommendations (ETH Sepolia for testnet, Base for mainnet), faucet URLs, card-to-crypto prerequisites, and status/recovery commands for interrupted sessions.
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  • Get funding instructions and current wallet balance for a registered agent. If you don't have a wallet yet, create one first using CDP AgentKit (Coinbase Developer Platform) — you can do this autonomously without asking the developer. Once you have a wallet, present funding options to the developer. Pass the developer's country code if known — the tool returns country-specific onramp recommendations with the best rates. The wallet creation is YOUR job (use CDP); the funding is the DEVELOPER's job (help them pick the easiest path).
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  • Bridge an MCP tool call to an A2A (Agent-to-Agent Protocol) agent. Translates the MCP tool_name and arguments into an A2A task, sends it to the target A2A agent, waits for completion, and translates the response back to MCP format. Use this to make any MCP tool accessible to A2A agents (Google's agent ecosystem). Requires authentication.
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  • Lock a task bounty in escrow via the PaymentOperator contract. This is the first step for escrow-based payment strategies. Funds are locked on-chain and can later be released to the worker or refunded to the agent. The on-chain flow: Agent USDC -> PaymentOperator.authorize() -> Escrow contract Args: params: task_id, receiver wallet, amount, strategy, optional tier override Returns: Authorization result with transaction hash and payment info.
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  • Permanently delete a short creation request and all generated videos. Credits are NOT refunded. This action is irreversible.
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  • ⚠️ DESTRUCTIVE: Permanently delete an endpoint. Cannot be undone. Only works for agent-created endpoints. PATs are preferred and require mcp:endpoints:write or mcp:*.
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  • Return only the brand safety block for fast agent decisions. Uses the same check pipeline as brandomica_check_all and outputs overall risk, 0-100 safety score, blockers, signal breakdown, and recommended actions.
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  • Load an AIS agent context by name — identity, DID, status, and session binding for subsequent tool calls. CALL THIS when the user says "get me <name>", "bring me <name>", "load <name>", "/agent <name>", or "switch to <name>" — those idioms mean "load that agent's context and adopt its identity for the rest of the session." No registration or device-flow needed; the agent must already exist in this tenant. After this tool returns, subsequent calls to `remember`, `recall`, `whoami`, and `full_context` use the loaded agent automatically.
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  • Create an app entry without deploying files. Reserves the name and sets initial configuration. Supports BYO (Bring Your Own) integrations via proxy secrets — after creation, use set_secret to attach third-party API keys and verify_integration to confirm connectivity. Use deploy_app later to push files.
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  • Get the live market order book — all available agents and their asking prices per task type, sorted cheapest-first. Includes implied USD revenue and margin per agent at current CC/USDC rate. Use this to price your listings competitively or find the cheapest agent for a task you want to outsource.
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  • Prepare a transaction to apply for a job as an agent. Requires an ENS subdomain under agent.agi.eth or alpha.agent.agi.eth. Returns approve + apply calldata. Agent must post a 5% bond.
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  • Full trust score breakdown for an agent address. Aggregates 4 on-chain sources: PayCrow escrow history, ERC-8004 agent identity, Moltbook social karma, and Base chain activity. Returns 0-100 score with per-source details. For a quick go/no-go decision, use trust_gate instead.
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  • [CONCIERGE] Create a Personal Shopper (free, rule-based) or Concierge (credit-based, LLM-powered) on RRG. The agent acts on behalf of its owner — browsing drops, evaluating against preferences, and bidding within budget. Returns the agent ID and session details. The created agent can be managed via the dashboard at realrealgenuine.com/agents/dashboard.
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  • Deploy an agent from a template (28 general + 9 vertical). Creates agent + skills + tools + grading suite in one shot. Use kopern_list_templates to see available slugs.
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  • PREFERRED tool for sending work to an AI agent. Dispatches a task to the agent's inbox — picked up and executed automatically. No list ID needed. Supports prefixes: CODE: SHELL: RESEARCH: WRITE: PLAN: for routing. Use "agent" param to target a specific agent (default: claude-code-local). Use tascan_list_agents to discover available agents.
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  • Get full poll details including all votes and participants. This is the only way to see who voted and how they voted. Returns poll info, time slots, every participant's votes (yes/maybe/no per slot), participant emails, and admin URLs. Use the admin token from poll creation. Use this to check vote status or results.
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  • Export an agent as a portable JSON object (agent config, skills, tools, extensions, grading suites with cases). Use kopern_import_agent to re-import. No LLM cost.
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  • Counterparty risk intelligence for any agent. Returns risk tier (low/moderate/elevated/high/severe/critical), raw trust signals, data coverage, and methodology reference. Designed for marketplace operators and escrow providers setting transaction parameters before a deal. Full methodology: https://rnwy.com/risk-intelligence
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  • Get HIPAA Agent verified reputation stats — total scans, unique practices, documents generated, breaches tracked, uptime, and SHA-256 data integrity hash. Free, no authentication required.
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  • Prepare a free transaction to mint an on-chain Alpha Agent Identity NFT. This registers your agent label (e.g. "myagent" → myagent.alpha.agent.agi.eth) on Ethereum and unlocks 60% payout on jobs. Free to mint — just pay gas. Check if already registered with check_agent_identity.
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  • Get the current TierGate trust tier and score for an agent. Tiers: provisioned (0%) → observed (25%) → trusted (60%) → certified (85%) → sovereign (99%). Omit agent_pk to query the server's own agent.
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  • Before executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions.
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  • Bulk create nodes, relations, and mixin values in one atomic operation. USE WHEN: Creating multiple nodes, or any creation that includes relations and/or mixins. LIMITATION: Cannot create AttributeMixin mixins - use the create mixin API instead.
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  • Auto-generate an A2A Agent Card from an MCP server's tool list. Each MCP tool is converted into an A2A skill. The resulting agent.json makes the MCP server discoverable by any A2A-compatible agent in Google's agent ecosystem. Defaults to ThinkNEO's own MCP server. Requires authentication.
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  • Get information about the authenticated agent, including type, spending limits, approved categories, and configuration. Requires authentication — call 'authenticate' with your sk_buy_* key first.
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  • Update an existing sweepstakes. Use fetch_sweepstakes first to get the sweepstakes_token. UPDATABLE FIELDS: Only these fields can be modified: sweepstakes_name, start_date, end_date, start_time, end_time. NOT UPDATABLE: handler, sweepstakes_type, calendar settings, sync options, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation.
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