_ registry / mcp http-sse · checked 1h ago

nonobench

https://www.nonobench.com

Registry code: 7092d87dee6c25e8

api record

Nonobench measures how well LLMs solve nonogram (picross) puzzles: 40 puzzles across 5x5, 10x10, 15x15, 20x20 grids. Standard is 5x5, 10x10 and 15x15, and overall accuracy covers those 30 puzzles. Hard mode is ten 20x20 puzzles, reported only per size (size "20x20"). Accuracy is the share of puzzles where the model's grid satisfies every row and column clue. Results last updated 2026-11-04T06:08:16.701Z.

endpoint
https://www.nonobench.com/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 nonobench live?
Yes — it answered the hub's last check (checked 1h ago). It answered 98% of checks over the last 30 days.
Is nonobench free to use?
Yes — the hub reached it with no key and no payment.
What tools does nonobench have?
11 tools: check_solution, get_puzzle_results, get_puzzle, compare_models, get_model_puzzles, get_model_results, list_runs, list_families, ….
Is nonobench 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
98.3%

90 days 99%· all time 99%

latency
500ms

last good check

priced tools
0

of 11 tools

_ answered our checks, 90 days 297 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
  • unknown → live
_ what it is for
topic
ai & agents evaluation & judging
used for
  • compare llm accuracy on nonogram puzzles
  • view the benchmark leaderboard
  • check a nonogram solution
takes → gives
text, data → data
tools
11 reads
_ 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 11 tools
4 open 7 never probed 4 of 11 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_families reads open 8h ago

    Model families, available efforts and best variants.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {}
}
    arguments 5 lines
  • list_providers reads open 4h ago

    Provider ids, names, families and variant counts.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {}
}
    arguments 5 lines
  • list_puzzles reads open 8h ago

    The benchmark puzzles with their ids and row/column clues.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "size": {
      "enum": [
        "5x5",
        "10x10",
        "15x15",
        "20x20"
      ],
      "type": "string",
      "description": "Grid size to filter on"
    }
  }
}
    arguments 16 lines
  • get_leaderboard reads open 8h ago

    Models ranked by accuracy; defaults to all effort levels for compatibility.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "size": {
      "enum": [
        "5x5",
        "10x10",
        "15x15",
        "20x20"
      ],
      "type": "string",
      "description": "Grid size to filter on"
    },
    "effort": {
      "type": "string",
      "description": "best, all (default), or one effort level; empty means all"
    },
    "family": {
      "type": "string",
      "description": "Comma-separated family ids; empty means no filter"
    },
    "version": {
      "type": "string",
      "description": "Comma-separated benchmark versions: 1.0, 1.1, 1.2; empty means all"
    },
    "provider": {
      "type": "string",
      "description": "Comma-separated provider ids; empty means no filter"
    },
    "reasoning": {
      "type": "boolean",
      "description": "Only reasoning (true) or non-reasoning (false) variants"
    },
    "min_correct": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": 0,
      "description": "Minimum puzzles solved in the selected tier; default 0 includes unsolved variants"
    },
    "open_weights": {
      "type": "boolean",
      "description": "Only open-weight (true) or closed (false) models"
    }
  }
}
    arguments 46 lines
  • check_solution reads unknown 1h ago

    Check a grid against a puzzle's clues, using the same rule as the benchmark grader. Reports which rows and columns do not match.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "id",
    "grid"
  ],
  "properties": {
    "id": {
      "type": "string",
      "description": "Puzzle id from list_puzzles"
    },
    "grid": {
      "type": "string",
      "description": "Row-major string of 0 (empty) and 1 (filled), width × height characters"
    }
  }
}
    arguments 18 lines
  • get_puzzle_results reads unknown 3d ago

    Per-model outcomes for one puzzle. Answers are omitted unless requested.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "description": "Puzzle id from list_puzzles"
    },
    "effort": {
      "type": "string",
      "description": "best, all (default), or one effort level"
    },
    "family": {
      "type": "string",
      "description": "Comma-separated family ids; empty means no filter"
    },
    "provider": {
      "type": "string",
      "description": "Comma-separated provider ids; empty means no filter"
    },
    "reasoning": {
      "type": "boolean",
      "description": "Only reasoning (true) or non-reasoning (false) variants"
    },
    "open_weights": {
      "type": "boolean",
      "description": "Only open-weight (true) or closed (false) models"
    },
    "include_answers": {
      "type": "boolean",
      "description": "Include each model's answer grid"
    }
  }
}
    arguments 37 lines
  • get_puzzle reads unknown 1h ago

    One puzzle, including the clue text models were prompted with. The reference solution is only included on request; some puzzles have several valid solutions.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "description": "Puzzle id from list_puzzles"
    },
    "include_solution": {
      "type": "boolean",
      "description": "Include a reference solution"
    }
  }
}
    arguments 17 lines
  • compare_models reads unknown 4h ago

    Side-by-side core overall and per-size accuracy, cost, latency and token results for model or family names.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "models"
  ],
  "properties": {
    "models": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "minItems": 2,
      "description": "2 to 20 model variant ids or family names, e.g. claude-opus-5.5 or gpt-6-astra-xhigh"
    }
  }
}
    arguments 18 lines
  • get_model_puzzles reads unknown 4h ago

    Which puzzles one model solved, missed, timed out on, or has not run.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "model"
  ],
  "properties": {
    "model": {
      "type": "string",
      "description": "Model variant id as listed on the leaderboard, e.g. claude-opus-5.5-high"
    }
  }
}
    arguments 13 lines
  • get_model_results reads unknown 1h ago

    Accuracy, cost, latency and token use for one model, broken down by grid size.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "model"
  ],
  "properties": {
    "model": {
      "type": "string",
      "description": "Model name as listed on the leaderboard, e.g. gpt-5.4-xhigh"
    }
  }
}
    arguments 13 lines
  • list_runs reads unknown never probed

    Individual benchmark runs (one model on one puzzle), optionally with the raw prompt and model output.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "size": {
      "enum": [
        "5x5",
        "10x10",
        "15x15",
        "20x20"
      ],
      "type": "string",
      "description": "Grid size to filter on"
    },
    "limit": {
      "type": "integer",
      "maximum": 500,
      "minimum": 1,
      "description": "Default 100"
    },
    "model": {
      "type": "string",
      "description": "Only runs of this model variant id"
    },
    "offset": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": 0,
      "description": "Runs to skip, for paging; default 0"
    },
    "puzzle_id": {
      "type": "string",
      "description": "Only runs on this puzzle id from list_puzzles"
    },
    "include_output": {
      "type": "boolean",
      "description": "Include raw prompt and model output (large)"
    }
  }
}
    arguments 40 lines
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_ how we know
card completeness
100%

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spec deviations
0

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_ 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
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ok
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failed
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success rate
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median latency
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work
attempts
0
accepted
0
rejected
0
acceptance rate
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settled without a human
0
earned
0 USDC
disputes
raised against
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upheld
0
rate
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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.