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Launch HN: Voker (YC S24) – Analytics for AI Agents

90% of AI agent teams only know about failures when customers complain. Voker just shipped the fix.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Agent analytics is an emerging category within the AI product stack. Voker addresses a real gap: traditional observability tools and eval frameworks don't give product teams visibility into real-world agent performance trends and user intent patterns at scale.

The key facts

8 to know
  1. YC S24 cohort company

  2. 90%+ of surveyed YC founders rely on customer complaints to detect agent failures

  3. Core primitives: Intents, Corrections, Resolutions for conversational agent analysis

  4. LLM stack agnostic SDK (OpenAI, Anthropic, Gemini support)

  5. Free tier: 2,000 events/month

  6. Paid plans start at $80/month with 30-day free trial

  7. Uses LLMs for annotation but data engineering (stats, classification) built on deterministic systems to avoid LLM hallucination in analytics

  8. Python and TypeScript SDKs available

Go to the source

Hacker Newsvoker.ai

Publisher excerpt: Hey HN, we're Alex and Tyler, co-founders of Voker.ai (https://voker.ai/), an agent analytics platform for AI product teams. Voker gives full visibility into what users are asking of your agents, and whether your agents are delivering, without having to dig through logs. Our main product is a…
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