Agora offers Agora Analytics, a platform for real-time monitoring, issue detection, and diagnostics of streaming quality, featuring Call Inspector 3.0 and integration with Datadog and RESTful APIs. The platform provides data insights for streaming professionals to monitor, measure, and improve the quality of experience for voice, video, and live streaming services, including AI-powered real-time engagement tools. Agora's SDKs and APIs also support various AI extensions and add-ons, such as real-time speech-to-text, real-time translation, and AI noise suppression.
Real-time visibility into streaming metrics is critical for the evolving AI voice agent market where sub-second latency is non-negotiable. By providing tools like Call Inspector 3.0 and Datadog connectivity, Agora is establishing the infrastructure layer for low-latency human-to-AI interaction. This move shifts the competition from simple API connectivity to holistic quality assurance for B2B applications in robotics and IoT. Industry observers should watch for adoption rates of the Conversational AI Engine, specifically how firms utilize the Selective Attention Locking feature to manage background noise in high-latency environments.
Agora has been building its Conversational AI Engine alongside the analytics platform, positioning both as complementary layers for developers building AI-native voice and video applications. By September 2025, Agora announced expanded support for OpenAI's Realtime API with features including selective attention locking and mixed-modality interaction, capabilities that Agora Analytics now monitors and diagnoses in production. The analytics platform's Call Inspector 3.0 and Datadog integration directly address the observability gap that emerges when developers move from prototype to production at scale.
The Conversational AI Engine runs on Agora's Software-Defined Real-Time Network (SDRTN), which the company says powers over 80 billion minutes of global engagement per month. That volume makes real-time quality monitoring operationally critical, and the analytics launch positions Agora to retain enterprise customers who demand SLA-grade visibility before scaling AI voice deployments. The engine was recognized with the Best Communications API award at the 2025 API World Conference, validating its technical approach among developer-focused evaluators.
On the technical side, Agora's Conversational AI Engine documentation specifies end-to-end AI response latency as low as 650 milliseconds and resilience to up to 80% packet loss, parameters that Agora Analytics is designed to track and alert on in real time. The platform also supports Agent Studio, a no-code environment for building, deploying, and monitoring conversational AI voice agents, with built-in analytics for campaign performance and call history. For streaming professionals evaluating Agora Analytics, the key question is whether Call Inspector 3.0's per-session root-cause analysis can match the granularity of purpose-built APM tools when diagnosing latency spikes in AI-agent conversations that span multiple network hops and provider integrations.
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