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OpenMark

ai.openmark/openmarkVersion 1.0.0

Benchmark your own prompt on 100+ LLMs with real API calls; pick the cheapest model that passes.

Status

Responds183 msAnswered our handshake without sign-in.

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Last checked
Nov 14, 2026, 13:31 UTC
Latency
183 ms
Remotes responding
1 of 1
Sign-in
API key
Hosting
Hosted outside the EU (detected)
Registry data as of
Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP
https://openmark.ai/mcpResponds183 ms
No sign-in

Claude Code

claude mcp add --transport http openmark https://openmark.ai/mcp --header 'Authorization: Bearer <YOUR_TOKEN>'

Replace <YOUR_TOKEN> before running.

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: openmark
Remote MCP server URL: https://openmark.ai/mcp
This server expects the header Authorization.

Cursor

{
  "mcpServers": {
    "openmark": {
      "url": "https://openmark.ai/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Replace <YOUR_TOKEN> before running.

VS Code

code --add-mcp '{"name":"openmark","type":"http","url":"https://openmark.ai/mcp","headers":{"Authorization":"Bearer <YOUR_TOKEN>"}}'

Replace <YOUR_TOKEN> before running.

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Tools

10 tools

Tools of OpenMark
Read-only
Idempotent
Open world
estimate_costCredits a run_benchmark call would use, before spending anything: the expected total, the split per model, the balance needed to start, the worst case, and the user's balance. Same inputs and run settings as run_benchmark. Use it to drop an expensive model, or to compare settings (e.g. max_tokens), before running.Not declaredNot declaredNot declaredNot declared
export_openclaw_csvA completed job's results as the CSV the OpenMark Router plugin for OpenClaw reads (the same file as the app's Export > OpenClaw). Save it in the plugin's benchmarks folder, by default ~/.openclaw/workspace/plugins/openmark-router/benchmarks/, and OpenClaw routes this kind of task to the benchmark winner. Free.Not declaredNot declaredNot declaredNot declared
get_accountThe user's plan, credit balance and limits, and what a credit pack, Pro or Expert would unlock. Use it before large runs, or when a run is refused for credits or limits.Not declaredNot declaredNot declaredNot declared
get_resultsStatus of a benchmark job, and once completed the ranked results (score, stability, cost per run, latency), the tests each model missed with its answer, a recommendation for the chosen objective and quick picks for the others.Not declaredNot declaredNot declaredNot declared
get_task_formatHow to write an OpenMark task: the YAML structure, all 18 scoring modes, and tips. Call this before writing a task. Pass a topic for the full detail on one subject (the app's Task Guide): fields, scoring, composite, chaining, documents, examples, best_practices, or a scoring mode name.Not declaredNot declaredNot declaredNot declared
list_modelsCurrent OpenMark model ids with list prices ($ per 1M tokens), as text and as a structured list. Use these ids in run_benchmark. Append @low, @medium or @high to a reasoning model id to set its reasoning effort.Not declaredNot declaredNot declaredNot declared
prepare_attachmentsGet an upload_uid and a one-hour upload link (no API key needed) for images, PDFs or text documents, with the exact curl command. Upload the files, reference them by file name in each test's attachments list, then pass the upload_uid to estimate_cost / run_benchmark.Not declaredNot declaredNot declaredNot declared
run_benchmarkSave a task (YAML, see get_task_format) to the user's OpenMark account and run it on the given models with real API calls. Returns a job_id and the expected cost; poll get_results. Spends the user's credits; pass max_credits to only start within a budget. Optional run settings match the app's Configure & Run panel (preset, stability_runs, max_tokens, temperature_discovery, temp_preference, timeout_profile, custom_timeout, fail_fast).Not declaredNot declaredNot declaredNot declared
validate_taskCheck a task YAML the way OpenMark will before running it: structure, scoring settings, and the test limit of the user's plan. Free, saves nothing. Returns the problems to fix and warnings worth a look.Not declaredNot declaredNot declaredNot declared
watch_taskWatch the task of a completed job: when new or cheaper models ship, OpenMark re-tests up to 4 of them next to the user's pick and emails the user only when one beats it. Each check uses the user's credits at the normal rate.Not declaredNot declaredNot declaredNot declared

Details

Registry status
Active
Published
Oct 18, 2026
Updated
Oct 18, 2026
Repository
Not given
Categories (suggested)
AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR
Not declared

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