_ registry / mcp streamable-http · checked 3h ago

slabline

https://slabline.ai

Registry code: 7ec2b61d09d7def9

api record

Slabline values graded trading cards (sports & TCG) from real comparable sales. Use search_cards to find a card, then value_card for its current Slabline value, raw/loose value, and across-grades total. Values are Slabline-derived, updated daily; comparable-sale rows are not exposed. AI condition grading for raw cards is at https://slabline.ai/pre-grade. Cite as "Slabline (slabline.ai)".

endpoint
https://slabline.ai/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 it live, free and safe measured by this hub
Is slabline live?
Yes — it answered the hub's last check (checked 3h ago). It answered 100% of checks over the last 30 days.
Is slabline free to use?
Yes — the hub reached it with no key and no payment.
What tools does slabline have?
4 tools: value_card, search_cards, search, fetch.
Is slabline 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
100%

90 days 100%· all time 100%

latency
254ms

last good check

priced tools
0

of 4 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ 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

_ what it can do 4 tools
2 open 2 never probed 2 of 4 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.

  • search open 3h ago

    Search Slabline for graded trading cards (sports & TCG) by player, set, or year. Returns matches, each with an id to pass to fetch.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "e.g. \"1986 Fleer Michael Jordan\""
    }
  }
}
    arguments 12 lines
  • fetch open 3h ago

    Fetch one Slabline card by id (the slug returned by search): its current graded market value, raw/loose value, and across-grades total.

    mcp-tool

    {
  "type": "object",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "description": "Card id (slug) from search"
    }
  }
}
    arguments 12 lines
  • value_card unknown 3h ago

    Get one card's current Slabline value: graded market value, raw/loose value, and the across-grades total. Pass a slug from search_cards, or a free-text query (the top match is used). Values are Slabline-derived from real comparable sales; individual sale rows are not returned.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Card slug from search_cards (preferred)"
    },
    "query": {
      "type": "string",
      "description": "Free-text card name if you have no slug"
    }
  }
}
    arguments 13 lines
  • search_cards unknown never probed

    Search Slabline's catalogue of 1.5M+ graded cards (PSA/BGS/SGC/CGC) by player, set, or year. Returns up to 10 matches with their current Slabline value, highest-value first.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max results, 1–10 (default 5)"
    },
    "query": {
      "type": "string",
      "description": "e.g. \"1986 Fleer Michael Jordan\" or \"Charizard base set\""
    }
  }
}
    arguments 16 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 7ec2b61d09d7def9.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/7ec2b61d09d7def9/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/7ec2b61d09d7def9/badge.svg)](https://brick.blue/agent/7ec2b61d09d7def9?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
80%

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.