Pricing built for engineering teams in the AI era

Transparent, predictable, batteries included. No per-seat tax, no token surprises, no premium tiers gating the features you actually need.

Billing period

Hobby

$0 /mo

50 credits / user

  • No credit card required
  • Herald CLI Agent
  • Local integrations
  • Limited agent requests

Individual

$20 /mo

100 credits / user

Everything in Hobby, plus:

  • Extended limits on Agent
  • Predictive issue detection
  • On-demand RCA
  • Developer questions

Teams

$40 /mo

250 credits / user

Everything in Individual, plus:

  • Herald Slack / Teams Agent
  • Herald Cloud Agent
  • Team-wide learning, integrations, and usage
  • SAML SSO
  • Usage analytics
  • Centralized team billing
  • General customer support
  • OAuth / API cloud integrations

Enterprise

Custom

Custom credits

Everything in Teams, plus:

  • Pooled usage
  • Enterprise terms & DPA
  • Invoice / PO billing
  • Custom integrations
  • Bring your own keys (BYOK for LLMs)
  • Bring your own cloud (BYOC)
  • Designated customer success

Trusted by AI Native Teams

Databricks
Anyscale
LlamaIndex
DataHub
Corelight
Snorkel
Monte Carlo
MotherDuck
Embrace
Eppo
Arize
DSPy

Common questions

Is there a POC process?

Yes! Herald is easy to get up and running, and our team will work with you to ensure the agent matches your expectations. The agent will be up and running in days, and we typically wrap up POCs in under a month.

How quickly do you get up and running?

You'll see your first successful RCA within a few days of starting the POC, and the agent should be fully configured within a week. Most POCs finish with a month — often faster.

Do I need to pay more for feature access?

No. Regardless of how you're using us, you'll have access to every skill Herald supports: predictive issue detection, RCA, issue resolution, and developer Q&A.

How does pricing scale as we grow?

Pricing scales with the volume of work Herald does. We right-size the contract with you as your environment grows, so there are no end-of-year surprises.

Evaluating an AI SRE?

One question matters

What's your agent's accuracy on novel incidents?

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