"An agent for conducting research" matching MCP tools:

• research_niche

  KDP Niche Research

  Get detailed KDP niche intelligence for a specific keyword. Returns demand score, competition score, Amazon BSR range, estimated monthly revenue, review threshold, average book pricing, and data freshness for the given Kindle publishing niche. Pricing tiers (x402 USDC on Base network): - $0.03 per query for cached/pre-seeded keywords - $0.10 per query for live on-demand research (new keywords) Use the free `list_niches` tool first to see available keywords. Payment options: 1. Set the KDP_X_PAYMENT environment variable on the server for auto-pay. 2. Pass a valid x402 payment header via the x_payment argument. 3. If neither is set, the tool returns structured 402 payment instructions that an x402-capable agent can use to construct and retry payment. Args: keyword: The KDP niche keyword to research (e.g. "romance novels", "keto cookbook") x_payment: Optional base64-encoded x402 payment header. Takes precedence over the KDP_X_PAYMENT environment variable.

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• check_attestations

  xProof

  Check domain-specific attestations for an AI agent wallet on xproof. Returns active attestations issued by third-party certifying bodies (healthcare, finance, legal, security, research). Each active attestation adds +50 to the agent's trust score (max +150 from 3 attestations). Use this to verify an agent's credentials before delegating a sensitive task.

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• agents_traces_list

  DialogBrain

  List recent execution traces for an agent — the same data as /admin/requests, scoped to one agent and readable by an LLM. Use this when an agent call timed out, drafted the wrong response, or you want to know which tool/LLM call burned the latency. Pair with `agents.trace_get` for full detail on a specific trace. Filters: `status`, `success`, `source` (single value or comma-separated: `agent,voice`), `date_from`/`date_to` (ISO-8601), pagination via `limit`/`offset`. Returns `returned_count`, `dropped_on_page` (should be 0 — positive means the backend agent_id predicate let something through), and `has_more`. Edge case: a raw page of all-dedup-dropped rows yields `returned_count=0, has_more=true`; re-call with `offset += limit`.

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• agents_update

  DialogBrain

  Update an existing AI agent's configuration. All parameters are optional — only provided fields will be updated. Use this to: - Enable or disable an agent - Change agent name or description - Assign or detach a prompt - Change default send mode - Replace knowledge collections - Update agent status - Change agent priority for trigger matching (lower number = higher priority) - Override which tools the agent can/can't call on triggered runs - Override which context sections (situation, communication style, job state, conversation history, thread summary) the agent receives - Opt into boilerplate prompt sections (safety guidelines, data confidentiality, factual accuracy) — all default OFF

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• createDeepResearch

  Parallel Task MCP

  Creates a Deep Research task for comprehensive, single-topic research with citations. USE THIS for analyst-grade reports, NOT for batch data enrichment. Use Parallel Search MCP for quick lookups. After calling, share the URL with the user and STOP. Do not poll or check results unless otherwise instructed. Multi-turn research: The response includes an interaction_id. To ask follow-up questions that build on prior research, pass that interaction_id as previous_interaction_id in a new call. The follow-up run inherits accumulated context, so queries like "How does this compare to X?" work without restating the original topic. Note: the first run must be completed before the follow-up can use its context.

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• data.pricing

  Recursive Support Oracle

  Returns structured pricing data for Recursive support agent plans. Three tiers: Basic ($49/mo), Pro ($99/mo), Premium ($299/mo). Use for quick pricing lookups without an LLM call.

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• submit_research

  TrenchFu

  Submit an L8 research thesis for dossier generation. Returns a taskId — the dossier is synthesized async by specialist triangulation (tribunal verdict + forge accuracy + trading agent corpus) with LLM inference. Standard depth: automated data aggregation ($0.50). Deep depth: full specialist triangulation with counter-arguments ($5.00). TRENCH whale holders get all dossiers free.

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• fetch

  Dynamoi

  OpenAI ChatGPT Deep Research / Connectors fetch contract. Given an id returned by `search` (formatted as 'artist:<uuid>', 'campaign:<uuid>', or 'smartlink:<uuid>'), returns the full record for citation.

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• thinkneo_bridge_mcp_to_a2a

  ThinkNEO Control Plane

  Bridge an MCP tool call to an A2A (Agent-to-Agent Protocol) agent. Maps MCP tool name and parameters to the A2A task format, enabling interoperability between MCP servers and A2A agents. Returns a ready-to-send A2A task object with full protocol compliance. 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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• provision_agent_identity

  Name Whisper — ENS Intelligence Layer

  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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• reset_session

  VARRD — Statistically Validated Trading Edges + AI Research Engine

  Kill a broken research session and start fresh. Use this when a session gets stuck, produces errors, or enters a bad state. Free — no credits consumed. After resetting, call research without a session_id to start a new clean session.

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• delete_endpoint

  Singularity Layer MCP

  ⚠️ 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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• trust_score_query

  paycrow

  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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• gns_get_trust_score

  mcp-perception

  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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• register_agent

  zero-core-budget

  Register an agent with daily and weekly budget limits. Free tool - call this before using check_spend or report_spend. Upserts if agent already exists.

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• search

  Dynamoi

  OpenAI ChatGPT Deep Research / Connectors search contract. Returns matching Dynamoi artists, campaigns, and Smart Links so they can be cited in a deep-research session. For regular ChatGPT chat use dynamoi_search instead.

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• kopern_deploy_template

  Kopern

  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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• kopern_export_agent

  Kopern

  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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• cite_article

  library

  Return formatted citation strings (AMA, APA, Chicago) for an article slug. Useful when an agent needs a verifiable source line.

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• apply_for_job

  AGI Alpha

  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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