Exa Launches Agent Ultra: A Subagent Swarm Deep Research API Built for Exhaustive List Building
Exa launched Agent Ultra, a hosted subagent research API it says leads four deep-research benchmarks.
Exa released Agent Ultra, the highest-effort mode of its hosted Exa Agent API, for exhaustive list building, entity enrichment, and multi-source research. It splits tasks across parallel subagents and mixes frontier and faster models, invoked by setting effort to ultra. Exa’s vendor-reported results are WANDR soft recall 81.4%, DeepSearchQA F1 93.9%, WideSearch row-level F1 58.9%, and 2,451 passing entities per Company Find-All task, ahead of Opus 5.5, GPT-6 Astra, and Perplexity Agent. Typical runs take about 30 minutes, very hard tasks up to three hours, at up to $20 per run by default.
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