Scenario in benchmark · Version 1

The retrieved material supports an answer

The retrieved material contains support for the answer.

How the tools performed

Every in-scope tool is visible. Outcomes come from current published Results for this scenario and benchmark version.

No published results for this scenario yet.

No published result does not tell you whether a tool has been tested. Test coverage is shown only for comparable published Results.

ToolPublished outcomesTest coverageResult
No published result · alphabetical
Brave Search API——No published result
Exa——No published result
Firecrawl——No published result
GPT-5.6 terra——No published result
Linkup——No published result
OpenAI web search——No published result
Perplexity Sonar——No published result
SerpAPI——No published result
Serper——No published result
Tavily——No published result
Valyu——No published result
You.com——No published result

Assessed = Pass + Fail + Not gradable. Gradable = Pass + Fail. Both use the published Result’s pinned-test denominator. — means not publicly available.

Test design

Pinned test cases
1
Disclosure
0 public · 1 withheld
Capabilities exercised here
Answer Generation

What this scenario evaluates

  • Whether the retrieved material contains enough support for the claim being made.
  • Whether the system can ground its response in the retrieved material rather than outside knowledge.
  • Whether the case is treated as a supported baseline, not as an unsupported or missing-answer case.

Exact wording, inputs, fixture state, expected output and detailed grading remain at the test-case level and may be withheld while the benchmark version is active. The scenario and its evaluation intent are public.

How the results are graded

  • Pass: the test-case expectations hold.
  • Fail: an expectation demonstrably does not hold.
  • Not gradable: the evidence cannot establish the outcome.

Version 1 uses test-case expectations; no scenario rubric is pinned.

Benchmark methodology →
The retrieved material supports an answer in Web Search for AI | AI Demos