For product and growth teams instrumenting user behavior, Amplitude is a digital analytics platform that tracks event-level usage data and now extends the same instrumentation to AI agents, launching Agent Analytics to measure which agent sessions fail and what that costs in retention and conversion.
Presence & Market Position
GTM Adjacent — tracked and scored as a comparator, never ranked.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Amplitude works to occupy the substrate layer beneath both human and agentic product usage: the same event-level instrumentation that tracks how people move through a product now extends to measuring how AI agents perform inside it. Practitioner conversation treats it as a default line in the product-analytics slot of a GTM stack, named alongside a rotating set of usage-tracking and product-adoption tools rather than singled out for debate. It also surfaces in discussion of AI-native development environments, where teams building coding agents cite it among the early customers wiring agent output into existing analytics, treated as a routine default rather than a topic of active debate.
MongoDB
Moonshot AI
PostHog
BigQuery
CohereFord, Cisco, The Economist, NTT DOCOMO, Coca-Cola FEMSA, Smartsheet, Jersey Mike's, Hostinger, Palo Alto Software
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Business Profile
Amplitude started in 2012 out of Y Combinator and launched in 2014 as a real-time mobile analytics tool, then grew into the product-analytics category alongside Mixpanel and Google Analytics. It raised $336.9M in venture funding before going public on NASDAQ as AMPL, and now runs as a San Francisco-based public company with roughly 1,000 employees and a market cap near $1.7B. FY2025 revenue reached $343M, up 15% year over year. Since 2024, Amplitude has been building outward from core analytics through acquisitions (Command AI, Kraftful) and, in 2026, absorbed the brand and customer base of OpenAI's Statsig acquisition, expanding into experimentation infrastructure alongside its behavioral-data platform.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Amplitude's agent build-out started with an MCP server putting behavioral data into Claude, Cursor, and other MCP clients, then expanded into Agent Connectors linking Amplitude bidirectionally to tools like Jira, Linear, and Slack, with role-based access controls governing what agents can read or write. On top of that data layer it has shipped its own standing agents, including Wave, Custom Agents, and Agent Analytics for measuring agent-session performance, extending distribution into Slack, Figma, and Notion.
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