Arcade.devFreemium
One control point for the actions agents take in real systems — user-scoped auth, 8,000+ permission-aware tools, and an audit trail per action.
AI Infrastructure comparison
Arcade.dev vs Groq
Pricing, pros, cons, and ideal use cases — side by side.
GroqFreemium
An inference provider whose custom LPU hardware delivers exceptionally low-latency responses for open-weight models.
At a glance
| Arcade.dev | Groq | |
|---|---|---|
| Pricing | FreemiumFree $0/month with 2,000 auth events and 2,000 tool calls, community support, no credit card. Team $25/month plus usage at $0.10 per auth event and $0.01 per tool call, with next-business-day email support. Enterprise is custom with annual bundles, cloud, VPC or air-gapped deployment, SSO, RBAC, audit logs, private registry access, and 24/7 SLA. Priced by what agents do, not per seat. | FreemiumFree tier for evaluation. Usage-based paid tiers for production volume. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Platform teams putting agents into production against real SaaS systemsSecurity teams that have blocked an agent project over service-account accessCompanies building internal agents on Salesforce, Google Workspace, or SlackTeams standing up MCP servers who need auth and audit around them | Latency-sensitive applications like voice agentsReal-time and interactive AI experiencesTeams running supported open models |
Pros & cons
Arcade.dev
Pros
- Agents act as a specific user, not a god-mode service account
- Published usage pricing in a category that is usually demo-gated
- 8,000+ pre-built permission-aware tools plus custom MCP support
- Per-action audit trail — the artifact security actually asks for
- SOC 2 certified, with VPC and air-gapped deployment options
Cons
- Another layer between your agent and its tools — added latency and a new dependency
- Usage pricing on auth events can surprise you at high user counts
- Only worth it once agents take write actions, not just read
- Requires engineering integration; not a business-user product
- Tool coverage is broad but you should verify your specific systems
Groq
Pros
- Exceptional inference speed and low latency
- OpenAI-compatible API, easy to adopt
- Strong fit for real-time use cases
- Competitive usage pricing
Cons
- Curated model selection, not every model
- Pure inference — no platform or governance layer
- Capacity can be constrained at peak demand
Which should you choose?
Arcade.dev is built around platform teams putting agents into production against real saas systems; Groq leans more toward latency-sensitive applications like voice agents. Shortlist the one whose strengths line up with your biggest constraint.
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