Claude Connector

Nonobench

An open-source benchmark of how well LLMs solve nonogram puzzles, from 5x5 to 20x20.

Brand: Nonobench

Category: AI
Primary Subcategory: AI Project Directories & Agent Benchmarks

Integration details

Description

An open-source benchmark of how well LLMs solve nonogram puzzles, from 5x5 to 20x20. Query every result through a REST API or MCP server.

Integration type: Connector
Verification status: Community connector
Platform: Claude
Category: AI
Primary Subcategory: AI Project Directories & Agent Benchmarks
Secondary Subcategories: None listed
Brand: Nonobench
Access: No account required
First tracked: 2026-09-29
Tool count: 11
Market: US

Agent DiscoverabilityClaude Discoverability Score

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Primary Subcategory

Competing in Claude AI Project Directories & Agent Benchmarks

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0 scoredVerified connectors by score · Community connectors A–Z

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Tools

11 tools agents can invoke

Check a grid against a puzzle's clues, using the same rule as the benchmark grader. Reports which rows and columns do not match.
check_solution
Side-by-side core overall and per-size accuracy, cost, latency and token results for model or family names.
compare_models
Models ranked by accuracy; defaults to all effort levels for compatibility.
get_leaderboard
Which puzzles one model solved, missed, timed out on, or has not run.
get_model_puzzles
Accuracy, cost, latency and token use for one model, broken down by grid size.
get_model_results
One puzzle, including the clue text models were prompted with. The reference solution is only included on request; some puzzles have several valid solutions.
get_puzzle
Per-model outcomes for one puzzle. Answers are omitted unless requested.
get_puzzle_results
Model families, available efforts and best variants.
list_families
Provider ids, names, families and variant counts.
list_providers
The benchmark puzzles with their ids and row/column clues.
list_puzzles
Individual benchmark runs (one model on one puzzle), optionally with the raw prompt and model output.
list_runs

FAQs

Nonobench Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Nonobench's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Nonobench alternatives on Claude?

As of 2026-11-02, Nonobench competes with Agent Wallet Index, Agentel, AgentSandboxes, AgentTrust, Anchor Terminal, Arcopolis, AttentionWatch, circuit and 26 more in Claude AI Project Directories & Agent Benchmarks, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.