Clam Pricing in 2026

Pricing Overview

Clam uses a usage-based pricing model billed monthly with no long-term commitments. All plans can be canceled anytime. The platform offers three self-service tiers starting at $50 per month, scaling up to $150 per month for power teams, plus a custom Enterprise option for organizations that need full control over their deployment.

Every Clam plan includes a built-in semantic firewall that inspects AI agent traffic at the network level, $10 in AI credits, and always-on agent runtime. Users bring their own API key to power their agent, which keeps the base cost predictable while allowing flexibility in how much AI compute each workflow consumes. The tiered structure centers on compute resources (vCPU and RAM allocations) rather than feature gating, so even the entry-level Active plan delivers the core security and automation capabilities that define the Clam platform.

Plan Comparison

The Busy plan at $75 per month is marked as Clam's most popular tier. It doubles the RAM allocation from 2 GB to 4 GB compared to the Active plan and unlocks unlimited integrations along with priority support and a faster processing queue. The Super Busy plan at $150 per month quadruples memory to 8 GB relative to the Active plan, adds a dedicated support channel, and introduces custom security policy support for teams with strict compliance requirements.

Clam also offers an Enterprise tier with custom pricing. Enterprise customers get on-premise deployment, custom VM specifications and scaling, custom integrations, and an SLA guarantee. Teams interested in this option can book a call directly through the Clam website to discuss their specific infrastructure and security needs.

Hidden Costs and Considerations

While every plan includes $10 in AI credits, teams running heavy automation workloads will consume credits beyond that baseline. Since Clam operates on a bring-your-own-API-key model, the cost of the underlying AI provider (such as OpenAI or Anthropic) is a separate line item that scales with usage volume and token consumption. RAM constraints on lower tiers can also force upgrades: the Active plan's 2 GB ceiling limits the complexity of concurrent automations, pushing multi-workflow teams toward the $75 or $150 plans sooner than expected.

Cost Estimates by Team Size

Because Clam publishes fixed monthly rates per plan, cost projections are straightforward:

All estimates above exclude external API key costs, which vary based on the AI provider selected and the call volume each team generates through their automations.

How Clam Pricing Compares

Clam occupies a distinct niche as an AI agent security and automation runtime, but it competes for budget alongside other platforms in the AI agents category. Here is how the pricing stacks up against notable alternatives:

Clam's $50 entry point is higher than the free tiers offered by LangChain, Praes, and AgentVault. The premium reflects the always-on infrastructure Clam bundles into every plan: dedicated compute resources, a semantic firewall that scans for data leakage and prompt injection, and continuous agent runtime with automated Python code generation. Teams that prioritize security enforcement for autonomous AI agents will find that Clam's bundled approach reduces the need to stitch together separate monitoring, hosting, and firewall tools. For teams with lighter security requirements or smaller budgets, the freemium options from competitors provide a lower-risk entry point to AI agent tooling, though they typically require assembling security layers independently.

Praes and AgentVault both offer mid-range paid tiers ($59/mo and $49/mo respectively) that overlap with Clam's $50 Active plan in cost, but none of these alternatives bundle a semantic firewall or dedicated compute allocation at their entry price. LangChain's per-seat pricing at $39 per seat scales differently and is better suited for developer-focused workflows rather than always-on agent deployments.