Snorkel AI vs Exa
Side-by-side trajectory, velocity, and editorial themes.
Snorkel's feed is an AI-evaluation research blog, not a product changelog
The entries are Snorkel AI's research-and-events blog: a Grok 4.5 evaluation on its GDPval+ dataset, reading-group and Benchtalks writeups, and talks on agentic evaluation. The throughline is measurement, benchmarking agents and frontier models, delivered as content rather than shipped product.
Snorkel is planting a flag as the authority on evaluating agents and frontier models, repeatedly arguing that measurement now lags model capability. That editorial bet aligns with its data-and-evaluation products, but this feed surfaces thought leadership and benchmark research rather than releases.
Expect more model-evaluation results, with the Grok 4.5 post as a template, and further benchmark collaborations. Product releases are not visible in this feed to forecast from.
Exa is pushing past search into autonomous web-research agents.
Exa has moved beyond its search-and-retrieval API into agentic territory. The headline change is Exa Agent — a research agent built on Exa's index and reachable via API — now joined by MCP availability for Agent and Connect. The underlying search product keeps maturing in parallel: auto-routing, people and company search, markdown-native content, and instant results.
The arc runs from primitives to products: a fast index, then specialized verticals (people, companies), now an agent that composes them into end-to-end research. Bringing Agent and Connect to MCP signals Exa wants to be a retrieval backend inside other agent stacks, not just a standalone API.
Expect Exa to deepen the agent layer — structured research outputs and monitoring already appear in the changelog — and to lean on MCP distribution to embed inside third-party agents rather than compete for end users directly.
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