For agent builders who need live web grounding, this comparison tests which APIs surface the right pages, current facts, usable page text, honest citations, and acceptable latency/cost when all tools are fed the same 52-query ground-truth set.
Tested August 202610 tools8 decisive checks126 findings15 min read
Search accuracy is strong, the answer API was the cleanest small-panel result in the benchmark, but the search product’s real billing is much higher than the first-pass model suggested.
Catch
It can find some recent material, but the recency signal is weak and the news path repeatedly came back empty, so it is not reliable when freshness matters.
We rank on the 8 checks that decide whether a tool does this job: Ambiguity handling, Answer quality (answer APIs), Citation accuracy (answer APIs), Extraction quality, Freshness, Long-tail coverage, No-answer behaviour, Relevance @ top-k. A check only carries a score when we recorded a finding for it, and a tool has to be measured on all of them to take the top spot. We also checked Cost per 1k queries, p50 / p95 latency, Stability — compared for you, but not part of the ranking.
Ranking rule: tools measured on every decisive check rank above tools missing any, whatever their score. Exa skipped Ambiguity handling (scores 4.3 on the checks it ran); OpenAI web_search skipped Ambiguity handling (scores 3.4 on the checks it ran); Valyu skipped Ambiguity handling (scores 1.9 on the checks it ran).
Compare
Pick the tools you care about, then compare what they returned or how they scored.
Tools10 of 10 selected
Result not recorded per promptYou.com was tested, but its results were written up across all 6 prompts together rather than prompt by prompt.
You.com
We did not run this specific query, so there is no basis to judge this case.
Covered run-wide
Result not recorded per promptSerpAPI was tested, but its results were written up across all 6 prompts together rather than prompt by prompt.
SerpAPI
We didn't run the Serper SOC2 date query, so there is no observed behavior to score.
Covered run-wide
Result not recorded per promptSerper was tested, but its results were written up across all 6 prompts together rather than prompt by prompt.
Serper
We did not run the Serper SOC 2 date query as a standalone scenario result here, so there is no basis to score it.
Covered run-wide
Result not recorded per promptLinkup was tested, but its results were written up across all 6 prompts together rather than prompt by prompt.
Linkup
We didn't run this specific query family through Linkup, so there's no basis to judge this case.
Covered run-wide
Result not recorded per promptTavily was tested, but its results were written up across all 6 prompts together rather than prompt by prompt.
Tavily
We didn't run this exact lookup as a separate answer-mode test, so there's no basis to judge it here.
Covered run-wide
Result not recorded per promptJina was tested, but its results were written up across all 6 prompts together rather than prompt by prompt.
Jina
We did not have a recorded run for this prompt, so there is no basis to judge how it handled the Serper SOC2 date question.
Covered run-wide
Result not recorded per promptOlostep was tested, but its results were written up across all 6 prompts together rather than prompt by prompt.
Olostep
We did not record a scenario-specific run for this input, so there is no basis to score how it handled the SOC 2 date question.
Covered run-wide
Result not recorded per promptExa was tested, but its results were written up across all 6 prompts together rather than prompt by prompt.
Exa
We didn't test this specific input separately, so there's no basis to judge it.
Covered run-wide
The output#9
MDresearch-media-openai-per-query-output-ffc474586bb8.mdopen raw ↗
OpenAI web_search
We didn't have a recorded run for this input, so there's no basis to judge it.
All 11 recorded checks per tool. Open a tool to inspect every finding.
Why this score
It usually picks the right interpretation when names collide, which is strong behavior, but not so strong that I would call it fully bulletproof.
Across all tests
On ambiguity queries, the Search API reached 71% top-3, indicating it usually resolves entity collisions instead of drifting to the wrong interpretation.
MDresearch-media-youcom-per-query-output-2b768ba041a3.mdopen raw ↗
Final Take
You.com is the overall winner because it is fully measured on all eight decisive checks and combines strong answer behavior with strong abstention: 4/5 on ambiguity handling, answer quality, citation accuracy, 5/5 on extraction quality, and 5/5 on no-answer behavior. The trade-off is that it is not the best retrieval-first option: freshness is weak at 2/5, relevance @ top-k is only 3/5, and the search side is pricey and slow (2/5 on cost and latency). If you want a tool that answers well and knows when to abstain, You.com is the page’s #1. If you want faster, more retrieval-oriented behavior, SerpAPI is the cleaner alternative: it is fast and stable with excellent answer/citation scores, but its no-answer behavior is weaker at 2/5 and its ranking depth is only middling. Serper is the cheapest and fastest search API, with the strongest ambiguity handling in the set, but its extraction is very weak at 1/5 and it needs a separate content layer. Exa looks strong on freshness, extraction, and answer quality, but it is only partly tested, so it cannot take the top spot by policy; its incomplete coverage should be treated as a real caveat rather than a reason to crown it. OpenAI web_search is attractive when answer honesty and citation accuracy matter more than retrieval depth, but it is also partly tested and weak as a retrieval layer. The lower-ranked tools are more specialized or more limited: Linkup is a useful extractor but weak at ranking and abstention; Tavily is good at full-page text but unsafe in answer mode; Jina and Olostep are held back by broader reliability and behavior gaps; Valyu has retrieval strengths but weak honesty and cost control.
Tested as of August 2026 · Will be re-verified monthly
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