Apify vs Hex
Side-by-side trajectory, velocity, and editorial themes.
Apify is rebuilding its Actor platform around MCP and agent-grade security.
Apify is leaning into the agentic stack: MCP connectors now let Actors operate on authenticated apps like Notion, Slack, and GitHub through a credential-blind proxy, and the MCP configurator has been streamlined for one-click setup across Claude, Cursor, ChatGPT, and more. In parallel it is hardening Actor permissions and adding developer features like multiple datasets and interactive OpenAPI docs.
The direction is clear: make Actors first-class tools for AI agents while tightening least-privilege security. MCP is becoming the connective tissue, and permission approvals are the guardrail that makes agent-invoked scraping safer.
Expect MCP connector coverage to broaden across more authenticated apps and more Actors, with continued least-privilege defaults as agent-driven runs scale.
Hex is rebuilding itself as an agent that turns prompts into data apps.
Hex has pivoted into agentic data analytics: an AI agent that builds analyses, dashboards, and now whole apps from prompts. Across this window it has widened the agent's context (repos, user memory, semantic models), its reach (MCP client, availability inside Codex), and its output surface (generative data apps).
The throughline is an agent that ingests broad context and acts across external tools rather than staying boxed in a notebook. Generative Data Apps plus MCP-client connectivity point at Hex wanting to be the agentic layer over a company's data stack, not just its analysis canvas.
Expect deeper agent autonomy and more model/tool options next, building on the model picker, web search, and MCP work visible here. More app-template or embedding paths are the likely follow-through to Generative Data Apps.
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