Vapi vs Nfig

Vapi runs phone agents that answer support lines, qualify leads, schedule appointments, and place outbound sales calls with sub-500ms response times. Engineering teams configure voice, conversation flow, telephony, and integrations in one platform that has handled over one billion calls for customers including Amazon Ring, Intuit, and ServiceTitan.

Building phone agents usually means stitching together telephony, speech-to-text, an LLM, text-to-speech, and call routing yourself. Vapi bundles those layers with squads, warm transfers, live tool calling, MCP access, and 200+ model integrations so engineering teams ship production voice flows through one API instead of five vendors.

Vapi targets engineering teams shipping production voice agents and enterprises that need compliance, uptime guarantees, and dedicated support. Scale customers get SSO, RBAC, SOC 2, HIPAA, PCI, data residency, and a dedicated account team.

Nfig is an agent API that turns natural language into browser actions so AI agents can browse, click, type, and finish tasks on live websites. You send instructions like open a page, search a product, or click a button, and Nfig runs them in a remote cloud browser through its Node.js SDK.

Generic web scrapers pull static HTML. Nfig targets interactive flows that need logins, pop-ups, file uploads, or changing page layouts, with self-healing steps when a site shifts structure. That focus on authenticated, resilient browser control is the trade-off: it is not a general LLM chat API, and it is built around step-based browser automation rather than bulk data extraction alone.

Developers building AI agents for sales demos, in-app customer training, or multi-site research are the core audience. The SDK connects to Playwright-backed remote sessions, docs live at docs.nfig.io, and signup runs through app.nfig.io with a Discord community for support.