Put AI Toolchain in your assistant

What it is tested to answer

These 13 questions are called against this endpoint on a schedule with a real subscriber key, and graded on the answer rather than on the HTTP status. Anything else the server can do may still work — it is just not promised. Each one prints the coverage it depends on, because "tested" is not the same as "complete". Coverage measured 2026-09-23.

1. Which flag or command in <tool> does X?

   e.g. “Which Ollama command runs a model locally?”

   search_tool_surface

   we checkAt least one flag comes back with its name, its help text, and whether a recorded run confirmed it.

   coverage 234 of 349 tracked tools

2. Show me a command for <tool> that actually ran, and what it printed.

   e.g. “Give me a working Ollama command and its output.”

   get_tool_surface

   we checkThe reply carries the command, its exit code, and the first lines of what it printed — or says plainly that no run was recorded for this tool.

   coverage 4 of 349 tracked tools

3. What is in <tool>'s supply chain, and how much of it is AI-authored?

   e.g. “What does LangChain depend on, and what share of its commits are AI-written?”

   get_tool_surface

   we checkThe sbom and code facets return a dependency count, a language mix and an AI-authorship attribution, each naming its own coverage.

   coverage 290 of 349 tracked tools

4. What changed across the tools I run since <date>?

   e.g. “What shipped in Ollama, vLLM and LangChain since the first of the month?”

   get_tool_history

   we checkEvery release returned falls on or after the requested date, and any entry reconstructed from older history is marked as a backfill rather than presented as news.

   coverage 265 of 349 tracked tools

5. What did vendor V change in its documentation without announcing it? Researcher and above

   e.g. “Did OpenAI change what its docs say about structured outputs last month?”

   list_issues → get_issue

   we checkThe Docs Weekly index lists which entries carry a full diff, and asking for one by its entry id returns the diff itself.

   coverage 6 Docs Weekly issues published

6. Who is shipping fastest in category C, and on what sample?

   e.g. “Which model-serving tools shipped most this quarter, and how is that measured?”

   list_analytics → get_analytics

   we checkThe chart names its sources and sample sizes, and a named series returns its rows with the count it held back.

   coverage 16 published charts

7. How does <tool> compare with its peers, and on what?

   e.g. “Is Ollama keeping up with the rest of model serving?”

   get_scorecard

   we checkEach dimension comes back with a score or a named reason it was not measured, plus the tool's rank among measured peers in its category.

   coverage 333 of 349 tracked tools

8. Which of these tools is the healthier project?

   e.g. “Compare Ollama, vLLM and llama.cpp across everything you hold.”

   compare_tools

   we checkOne table covering every tool named, where an unmeasured cell reads as unmeasured and never as a zero, and untracked names are listed rather than dropped.

   coverage 333 of 349 tracked tools

9. What do practitioners say about <tool>?

   e.g. “What do people report about running Ollama locally?”

   get_practitioner_signal

   we checkPassages come back quoted with their platform, date and link, evaluative ones first — or the reply says the corpus holds no linked discussion for this tool, which is not the same as no opinion existing.

   coverage 58 of 349 tracked tools

10. How does <model> score on <benchmark>, and when was that measured?

    e.g. “Who leads SWE-bench, and against what market median?”

    get_benchmarks

    we checkEvery row carries its evaluator, source URL and date basis, and a standings table states the whole market's median and max beside the rows this roster tracks.

    coverage 21 models and agents scored

11. What has shipped since I last checked?

    e.g. “Anything new across my AI toolchain since Tuesday?”

    get_changes_since

    we checkThe reply returns a cursor, and calling again with it returns nothing the first call already showed.

    coverage 265 of 349 tracked tools

12. This tool is not tracked — can you ask for it?

    e.g. “Request coverage for a model-serving tool the roster is missing.”

    request_coverage

    we checkThe request is validated before it is queued and comes back with a receipt that states plainly it is proof of the send and not of the filing; a malformed URL is refused while the caller is still listening.

    coverage 349 tracked tools

13. Can I tell you what a tool is actually like to run?

    e.g. “Share what running Ollama locally is really like.”

    submit_feedback

    we checkA rating-length submission is refused in favour of a sentence, and an accepted one comes back saying nothing identifying was stored, that it cannot be withdrawn, and that it is not published back to other readers.

    coverage 349 tracked tools

also The server ships its own prompts, so the multi-call workflows are one command in your client rather than something to reconstruct each session: a brief on one tool, a review of a whole toolchain, a category survey, alternatives to an incumbent, and what has shipped since last time. It also exposes the recent issues, the roster and the chart list as attachable resources.

writes Two of these send rather than read, and this endpoint is built so it can only ever send: it holds permission to put a message on one queue and no permission to read anything back, so it never touches subscriber records. Feedback carries no subscriber id and no timestamp finer than the date — which also means a submission cannot be withdrawn later, and the tool says so before it accepts one.

Tested does not mean complete. Coverage is per tool: one whose help output has never been parsed has no flags here even though it has them, and a facet with nothing recorded says so rather than returning an error. A flag found in documentation is not proof it exists in the version you have installed — a recorded run is, and those are marked.