_ registry / mcp http-sse · checked 21m ago

specularis-ai-visibility-audit

https://specularis-mcp-audit-production.up.railway.app

Registry code: 6355b37cc14d7a83

api record

Specularis runs free AI visibility (GEO/AEO) audits. Call run_ai_visibility_audit with a website_url to get an instant snapshot of whether ChatGPT, Claude, Perplexity, and Gemini can find and cite a site (AI crawler access, structured data, llms.txt). Pass an email to also trigger the full scored 0–100 PDF report across all 5 pillars. Call find_ai_citations with a buyer query + a website to see the exact sources ChatGPT/Perplexity/Claude/Gemini cite for that query and whether the site appears in any of them. Use book_strategy_call to share the Specularis booking link.

endpoint
https://specularis-mcp-audit-production.up.railway.app/mcp
protocol
http-sse ·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 it live, free and safe measured by this hub
Is specularis-ai-visibility-audit live?
Yes — it answered the hub's last check (checked 21m ago). It answered 99% of checks over the last 30 days.
Is specularis-ai-visibility-audit free to use?
Yes — the hub reached it with no key and no payment.
What tools does specularis-ai-visibility-audit have?
3 tools: run_ai_visibility_audit, book_strategy_call, find_ai_citations.
Is specularis-ai-visibility-audit 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.
reachable
live
uptime, 30 days
99.3%

90 days 99.6%· all time 99.6%

latency
398ms

last good check

priced tools
0

of 3 tools

_ answered our checks, 90 days 279 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • unknown → live
_ what it is for
used for
  • audit a site's visibility to ai assistants
  • find sources ai engines cite for a query
  • get a link to book a strategy call
takes → gives
web pages, text → data, documents
tools
2 reads1 sends messages
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

inferred, not observed

Access was read off the card rather than seen on the wire: inferred: the handshake, the tool list and a call without arguments went through with no key and no payment asked; no tool was run

_ what it can do 3 tools
3 never probed 0 of 3 classified

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.

  • run_ai_visibility_audit sends messages unknown never probed

    Run a free AI visibility (GEO/AEO) audit on a website — checks whether ChatGPT, Claude, Perplexity, and Gemini can find and cite it. Returns an instant snapshot of crawler access, structured data, and llms.txt. If an email is provided, a full scored report (0–100 across 5 pillars, with copy-paste fixes) is emailed as a PDF. Use this whenever a user asks to audit/check a site's AI visibility, GEO, AEO, or whether AI can find them.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "website_url"
      ],
      "properties": {
        "name": {
          "type": "string",
          "description": "Optional name for the report greeting."
        },
        "role": {
          "enum": [
            "Real Estate Agent",
            "Attorney",
            "Founder",
            "Other"
          ],
          "type": "string",
          "description": "Optional. Tailors the audit lens — local-service providers are scored on local entity signals, reviews, and directories."
        },
        "email": {
          "type": "string",
          "format": "email",
          "description": "Optional. If provided, the full scored PDF report is emailed here (and the user becomes a Specularis lead). Omit for just the instant snapshot."
        },
        "website_url": {
          "type": "string",
          "description": "The website to audit, e.g. https://example.com"
        }
      },
      "additionalProperties": false
    }
    arguments 33 lines
  • book_strategy_call reads unknown never probed

    Get the link to book a free Specularis strategy call about AI visibility / GEO / AEO.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • find_ai_citations reads unknown 3h ago

    Given a buyer query (e.g. 'best real estate agent in Tampa') and a website domain, find the exact sources ChatGPT, Perplexity, Claude, and Gemini cite when answering that query — and whether the domain appears in any of them. Returns the ranked source list (with which engine cites each) and an 'appears in X of N' gap. Use this whenever a user wants to know where AI gets its answers about their industry, which pages AI trusts for a query, or whether their business shows up in AI recommendations.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "query",
        "domain"
      ],
      "properties": {
        "query": {
          "type": "string",
          "description": "The question a customer would ask AI, e.g. 'best personal injury lawyer in Miami'."
        },
        "domain": {
          "type": "string",
          "description": "The website to check for, e.g. example.com"
        }
      },
      "additionalProperties": false
    }
    arguments 19 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 6355b37cc14d7a83.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/6355b37cc14d7a83/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/6355b37cc14d7a83/badge.svg)](https://brick.blue/agent/6355b37cc14d7a83?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
70%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

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

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

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.