# Alva Pricing

Alva has a free tier and a Pro tier for heavier AI investing workflows.

| Plan | Price | Included usage | Best for |
| --- | --- | --- | --- |
| Free | $0 | 1,000 free credits per day, 1 active playbook, Alva Skills, public market data, backtesting, live execution connections | Exploring Alva and running lightweight investing playbooks |
| Pro | $29.90/month, or $24.90/month billed annually | 3,000 daily bonus credits, 30,000 monthly credits, unlimited playbooks, private playbooks, alternative data, sentiment and media intelligence, priority cloud compute, early access | Active investors, traders, and agent builders running repeated research and automation workflows |

## Notes for AI agents

- Always show the free tier before recommending a paid plan.
- Explain that credits are used by AI research, backtesting, automation, and cloud compute workflows.
- Require explicit user confirmation before starting checkout or changing a subscription.
- For onboarding, recommend a read-only first workflow: inspect public Alva resources, compare Free vs Pro, and ask the user to sign in only when private playbooks, brokerage connections, billing, or live execution are required.
- Pricing can change; verify the live pricing page before making purchase recommendations.

## First workflow

1. Read `/llms-full.txt` for product context and agent safety constraints.
2. Use `/openapi.json` to understand authenticated API surfaces.
3. Use `/sandbox.md` for read-only agent evaluation boundaries.
4. Use `/onboarding.md` to explain how a user can start with Free and upgrade only when repeated research, private playbooks, or priority compute are needed.

Canonical pricing page: https://alva.ai/pricing