Pricing
No per-seat fees. Choose a monthly credits package with optional top-ups, or bring your own API keys and pay only for what you use.
For Clay users and GTM teams running managed AI agents across research, outreach, CRM and meeting workflows.
For agencies and operators running AgentLed across multiple Clay client workspaces, with white-label delivery and on-demand FDE support.
No per-user fees. Ever.
Credits are shared across your entire workspace. Add as many team members as your plan allows without paying more.
Add capacity before your next plan refresh with a one-time credit pack. Choose the amount you need and keep your current monthly allocation.
1,000
credits
5,000
credits
10,000
credits
Available from Workspace Billing on active paid plans. The plan payer, a workspace admin, or a manager can purchase.
Monthly credits are used first. Purchased credits roll over and expire six months after the latest purchase.
Every run is attributed by model, app, step, and agent so monthly credits stay tied to hours saved, operating cost avoided, or pipeline influenced.
Example credits allocated
8,420
Example runs
126
Example token drivers · One monthly allocation
Illustrative ROI view: 84 hours saved · $12.4K cost avoided · $38K pipeline influenced
GPT-5.5
OpenAI reasoning
2,380 cr · 74 runs
Claude Opus
Deep analysis
1,840 cr · 31 runs
Gemini Pro
Research passes
940 cr · 52 runs
Mistral Small
Fast classification
280 cr · 9 runs
Profile enrichment
1,260 cr · 42 runs
Web extraction
Site and signal reads
890 cr · 36 runs
Drafts and routing
520 cr · 28 runs
KG Memory
Read and update
410 cr · 96 runs
Match ICP
Account fit
1,680 cr · 18 runs
Read signals
Recent context
1,320 cr · 42 runs
Write touch
Personalized
980 cr · 34 runs
Save memory
Next action
620 cr · 32 runs
Warm ICP SEO
Finds best-fit leads
1,480 cr · 16 runs
Signal Scout
Reads buying triggers
1,120 cr · 24 runs
Content Manager
Writes assets
760 cr · 18 runs
Reengagement
Remembers next step
520 cr · 37 runs
Included in your monthly plan. Allocate credits where ROI is highest instead of spreading tokens evenly across low-value work.
| Feature | Teams | Custom |
|---|---|---|
| Workspaces | 5 | Unlimited |
| Members | Unlimited | Unlimited |
| Workflows | Unlimited | Unlimited |
| Snapshots / workflow | 10 | Unlimited |
| Integrations | Any service through credits | Credits + custom integrations |
| AI workflow builder | ||
| MCP / CLI server access | ||
| Knowledge Graph memory | ||
| Public forms | ||
| Agency white-label portal and reports | — | |
| Approval gates | ||
| Usage and ROI reporting | ||
| Client portals | — | |
| On-demand FDE hours | — | |
| Priority support | ||
| Dedicated support & SLA | — | |
| SSO & RBAC | — | |
| Custom integrations | — | |
| GDPR & data residency |
Each CLI-triggered agent work step spends from the workspace credit budget. Here are common actions.
| Action | Credits |
|---|---|
| Connect Claude Code, Codex, or MCP agent | 0 |
| Research an account or lead list | 3 - 10 |
| Draft approval-ready email or reply batch | 10 - 30 |
| Inspect or extract from a website | 2 - 10 |
| Public form intake | Included |
| Generate a client-facing report | 10 - 40 |
| Knowledge Graph memory read/write | 1 - 2 |
Connect AgentLed to Codex, Claude Code, or any MCP client. Your agent gets tools, memory, approvals, monitoring, and ROI visibility.
npx @agentled/cli setup