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

stat-api

https://api.stat-api.com

Registry code: d32cd40ae8275c70

api record

stat-api serves NFL, NBA, MLB, NHL, and PGA data plus DFS salaries. Workflow: list_leagues → list_tables(league) → describe_table(league, table) → query_table. Catalog tools work without credentials; data tools require an API key (free tier at https://stat-api.com) sent as 'Authorization: Bearer <key>'. Every returned row counts against the key's monthly record quota — check api_usage to see your position.

endpoint
https://api.stat-api.com/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
509ms

last good check

priced tools
0

of 9 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 9 tools
1 open 8 never probed 1 of 9 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.

  • list_leagues open 3h ago

    List every league/data group this API serves (nfl, nba, mlb, nhl, pga, dfs, kalshi, polymarket, reference) with table counts and availability. No credentials needed. Start here, then call list_tables.

    mcp-tool

    {
      "type": "object",
      "properties": {},
      "additionalProperties": false
    }
    arguments 5 lines
  • list_tables unknown never probed

    List every queryable table in one league with a one-line summary each. No credentials needed. Follow with describe_table before querying.

    mcp-tool

    {
      "type": "object",
      "required": [
        "league"
      ],
      "properties": {
        "league": {
          "enum": [
            "nfl",
            "nba",
            "mlb",
            "nhl",
            "pga",
            "dfs",
            "kalshi",
            "polymarket",
            "reference"
          ],
          "type": "string"
        }
      },
      "additionalProperties": false
    }
    arguments 23 lines
  • graphql_query unknown never probed

    Run a GraphQL query against the same data with relations — nest from a game to its teams/players/odds in one call. Root fields are leagues (nfl, nba, …), each exposing its tables with the same filter arguments as REST plus `first`/`after` pagination. Do NOT send introspection queries (the schema is huge) — use describe_table instead; the SDL is at https://api.stat-api.com/api/v1/graphql/sdl. Requires an API key; every row resolved anywhere in the tree counts against quota.

    mcp-tool

    {
      "type": "object",
      "required": [
        "query"
      ],
      "properties": {
        "query": {
          "type": "string"
        },
        "variables": {
          "type": "object"
        }
      },
      "additionalProperties": false
    }
    arguments 15 lines
  • api_usage unknown never probed

    Your key's quota position: plan, monthly record limit, records used, remaining, and when the quota resets. Requires an API key; costs 1 record.

    mcp-tool

    {
      "type": "object",
      "properties": {},
      "additionalProperties": false
    }
    arguments 5 lines
  • describe_table unknown never probed

    Full contract for one table: fields with types and descriptions, the filters query_table accepts (with operators like __gte/__lte/__between/__like and required filter combinations), page-size limits, primary key, and a runnable example URL. No credentials needed. Always call this before query_table — filters not listed here are rejected.

    mcp-tool

    {
      "type": "object",
      "required": [
        "league",
        "table"
      ],
      "properties": {
        "table": {
          "type": "string"
        },
        "league": {
          "enum": [
            "nfl",
            "nba",
            "mlb",
            "nhl",
            "pga",
            "dfs",
            "kalshi",
            "polymarket",
            "reference"
          ],
          "type": "string"
        }
      },
      "additionalProperties": false
    }
    arguments 27 lines
  • query_table unknown never probed

    Query any table. Returns `{"<table>": [rows], "limit": N, "next_from_id": M|null, "has_more": bool}`. To read every row, start with from_id=0 and re-call with from_id set to the previous next_from_id until it is null. A call without from_id returns the first page in the table's default sort with next_from_id null. filters is a flat object of `field` or `field__op` keys from describe_table (e.g. {"season_id": 2024, "day__between": "20250101,20250131"}). Requires an API key (Authorization: Bearer <key>; free tier at https://stat-api.com). Every returned row counts against the monthly record quota.

    mcp-tool

    {
      "type": "object",
      "required": [
        "league",
        "table"
      ],
      "properties": {
        "limit": {
          "type": "integer",
          "minimum": 1
        },
        "table": {
          "type": "string"
        },
        "league": {
          "enum": [
            "nfl",
            "nba",
            "mlb",
            "nhl",
            "pga",
            "dfs",
            "kalshi",
            "polymarket",
            "reference"
          ],
          "type": "string"
        },
        "filters": {
          "type": "object",
          "description": "field or field__op keys → scalar values; see describe_table",
          "additionalProperties": {
            "type": [
              "string",
              "number",
              "boolean"
            ]
          }
        },
        "from_id": {
          "type": "integer",
          "description": "keyset cursor: 0 for the first page of a full walk, then the previous next_from_id"
        }
      },
      "additionalProperties": false
    }
    arguments 46 lines
  • get_record unknown never probed

    Fetch a single row by primary key. Returns the row object. Requires an API key; costs 1 record of quota.

    mcp-tool

    {
      "type": "object",
      "required": [
        "league",
        "table",
        "id"
      ],
      "properties": {
        "id": {
          "type": "string",
          "description": "primary-key value (integer or text PK)"
        },
        "table": {
          "type": "string"
        },
        "league": {
          "enum": [
            "nfl",
            "nba",
            "mlb",
            "nhl",
            "pga",
            "dfs",
            "kalshi",
            "polymarket",
            "reference"
          ],
          "type": "string"
        }
      },
      "additionalProperties": false
    }
    arguments 32 lines
  • search_players unknown never probed

    Fuzzy player-name search (typo-tolerant). Currently NBA only — for other leagues query the players table with a name filter via query_table. Returns player rows ordered by match quality. Requires an API key; rows count against quota.

    mcp-tool

    {
      "type": "object",
      "required": [
        "name"
      ],
      "properties": {
        "name": {
          "type": "string",
          "maxLength": 100,
          "minLength": 1
        },
        "limit": {
          "type": "integer",
          "default": 10,
          "maximum": 50,
          "minimum": 1
        },
        "league": {
          "enum": [
            "nba"
          ],
          "type": "string",
          "default": "nba"
        }
      },
      "additionalProperties": false
    }
    arguments 27 lines
  • games_on_date unknown never probed

    Games scheduled/played on one calendar date (US-Eastern) for nba, mlb, or nhl; defaults to today. Returns the same envelope as query_table on the games table. NFL is week-based, not date-based — for nfl, use query_table on nfl/games with season_id + week filters instead. Requires an API key; rows count against quota.

    mcp-tool

    {
      "type": "object",
      "required": [
        "league"
      ],
      "properties": {
        "date": {
          "type": "string",
          "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
          "description": "YYYY-MM-DD; defaults to today in US-Eastern time"
        },
        "league": {
          "enum": [
            "nba",
            "mlb",
            "nhl"
          ],
          "type": "string"
        }
      },
      "additionalProperties": false
    }
    arguments 22 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.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/d32cd40ae8275c70/badge.svg)](https://brick.blue/agent/d32cd40ae8275c70)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ how we know
card completeness
100%

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
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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.