Prevalpreval
Observe·Evaluate·Simulate

preval your agents before your users do.

Simulate conversations before launch, trace every LLM call and voice span in production, and auto-score every response — so nothing slips through, from first test to millionth call.

Global observability

Monitor agents across every region. Trace LLM calls, voice pipelines, and tool executions from users worldwide — with <5ms overhead. Evaluate quality automatically, catch regressions before they reach production.

Everything you need to ship
reliable AI agents.

From first trace to production monitoring — Preval covers the full AI agent lifecycle.

3-line integration

No complex setup.
Just trace.

Install the SDK, add three lines, and every LLM call, tool execution, and voice span is automatically captured with latency, tokens, and cost.

1import preval
2
3# Initialize in 3 lines
4p = preval.init(
5 api_key="prz_your_key",
6 project="my-voice-agent"
7)
8
9# Auto-instrument all LLM calls
10p.init_opentelemetry()
11
12# That's it — every OpenAI, Anthropic,
13# Google call is now traced automatically

Works with every major AI provider and framework

OpenAIOpenAI
AnthropicAnthropic
GoogleGoogle
MetaMeta
DeepSeekDeepSeek
Pricing

Start free.
Scale when ready.

Preval supports Bring Your Own Keys.

Free

$0forever

For individual developers exploring AI agent observability

  • +10K traces/month
  • +7-day retention
  • +1 project
  • +4 preset evaluators
  • +Community support
  • +SDK + OTLP ingestion
Start FreeStart Free+

Ship

$29/month

For teams shipping AI agents to production

  • +500K traces/month
  • +30-day retention
  • +5 projects
  • +Custom evaluators
  • +Unified Playground
  • +Priority support
  • +CSV export
Start ShippingStart Shipping+

Scale

$79/month

For teams running AI agents at scale

  • +5M traces/month
  • +90-day retention
  • +Unlimited projects
  • +Red team testing
  • +Auto-improve
  • +Drift detection
  • +Dedicated support
Start ScalingStart Scaling+