The best search API built for
{accurate} AI agents

Smarter results. Accuracy you trust. Speed you feel — made for you.

POST/v1/search→

1from ateve import Ateve
2with Ateve() as client:
3    response = client.search("What are the fashion trends in 2026?")
4    print(response.model_dump_json(indent=2))

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State of the art across the most challenging benchmarks

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About this benchmark

This benchmark evaluates how accurately models answer factual questions using retrieved web information, based on SimpleQA and FreshQA. SimpleQA contains short, fact-seeking questions, while FreshQA includes questions about changing facts and false premises.

Methodology

Dataset: SimpleQA (4,326 questions) and FreshQA (595 questions: 495 TEST + 100 DEV).
Answer generation: Answers are grounded in search results retrieved by each provider.
Scoring: Accuracy (correct answers / total questions), reported separately for each dataset.
Grading: OpenAI’s official SimpleQA grading prompt and FreshQA’s strict grading rules.
Retrieval: Up to 10 search results per query. FreshQA results exclude the same five questions with disputed grading for all providers.

Accuracy (%)