verbaterm

endpoint

https://verbaterm.com/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is verbaterm live?

Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.

Is verbaterm free to use?

Partly — some of its tools are open, others need a key or payment.

What tools does verbaterm have?

7 tools: start_private_review, ask_question, get_policy_review, search_policies, list_policies, get_private_review_progress, get_private_review_result.

Is verbaterm safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• search_policies reads open 20h ago

  Search Verbaterm's judged, citation-checked public policy corpus (companies, products, policy kinds). Returns derived review metadata — findings counts, scores, freshness — never raw policy text.

  mcp-tool

  1234567891011121314151617

  {
    "type": "object",
    "properties": {
      "q": {
        "type": "string",
        "description": "Company or product name to search."
      },
      "limit": {
        "type": "number",
        "description": "Max results (default 20, max 50)."
      },
      "category": {
        "type": "string",
        "description": "Optional audience category slug."
      }
    }
  }

  arguments 17 lines copy
• list_policies reads open 20h ago

  List published public-library policy reviews available in the corpus.

  mcp-tool

  1234

  {
    "type": "object",
    "properties": {}
  }

  arguments 4 lines copy
• get_private_review_progress reads auth-required 20h ago

  Poll progress of a private review started with start_private_review.

  mcp-tool

  1234567891011

  {
    "type": "object",
    "required": [
      "sessionId"
    ],
    "properties": {
      "sessionId": {
        "type": "string"
      }
    }
  }

  arguments 11 lines copy
• get_private_review_result reads auth-required 13h ago

  Get the completed private review (findings + citations) for a session started with start_private_review. Raw source text is not returned.

  mcp-tool

  1234567891011

  {
    "type": "object",
    "required": [
      "sessionId"
    ],
    "properties": {
      "sessionId": {
        "type": "string"
      }
    }
  }

  arguments 11 lines copy
• start_private_review changes data unknown never probed

  Start a private Verbaterm review of pasted policy text (requires a Verbaterm API key; debits the caller's plan allowance, not API credits). Returns a sessionId to poll with get_private_review_progress.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "policyText"
    ],
    "properties": {
      "policyKind": {
        "type": "string",
        "description": "terms, privacy, cookies, data_processing, other, or auto."
      },
      "policyText": {
        "type": "string",
        "description": "Full pasted policy text (min 80 chars)."
      },
      "documentTitle": {
        "type": "string"
      }
    }
  }

  arguments 19 lines copy
• ask_question reads unknown never probed

  Ask a citation-grounded follow-up question about a public library review or a private session (requires a Verbaterm API key; debits the caller's plan Q&A allowance).

  mcp-tool

  1234567891011121314151617

  {
    "type": "object",
    "required": [
      "question",
      "reviewRef"
    ],
    "properties": {
      "question": {
        "type": "string",
        "description": "3–1000 characters."
      },
      "reviewRef": {
        "type": "object",
        "description": "{ kind: \"public_path\", companySlug, productSlug, policyKind } or { kind: \"private\", sessionId }."
      }
    }
  }

  arguments 17 lines copy
• get_policy_review reads unknown 13h ago

  Get the full judged review for one published policy: findings with verbatim citation excerpts, scores, summary, and provenance. Cite the source URLs back to the user.

  mcp-tool

  1234567891011121314151617181920

  {
    "type": "object",
    "required": [
      "companySlug",
      "productSlug",
      "policyKind"
    ],
    "properties": {
      "policyKind": {
        "type": "string",
        "description": "terms, privacy, cookies, data_processing, or other."
      },
      "companySlug": {
        "type": "string"
      },
      "productSlug": {
        "type": "string"
      }
    }
  }

  arguments 20 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.