Agentic Index
Clay vs Genesy (2026)
Clay and Genesy both consolidate data enrichment and outbound automation with opposite transparency: Clay publishes its ladder, free tier, Launch at 185 dollars a month with twenty five hundred data credits, Growth at 495 with six thousand, enterprise custom around a thirty thousand dollar median, on dual credit metering with unlimited seats, while Genesy is quote only, an all in one data, enrichment, and LinkedIn plus email outreach platform sold demo led, currently rebranding to Enginy. Clay is the transparent power tool with a huge integration ecosystem; Genesy is the guided European alternative where a scoped quote and managed onboarding appeal.
| At a glance | Clay | Genesy |
|---|---|---|
| Category | GTM / revenue agent | GTM / revenue agent |
| Entry price | Free · Launch $185/mo (2,500 Data Credits) · Growth $495/mo (6,000 Data Credits) · Enterprise custom · usage-based (Data Credits + Actions) | Custom quote only (tailored to team size, usage, and features) · demo-led |
| Free / trial | Free plan with 100 Data Credits and 500 Actions/mo, unlimited seats and tables, waterfalls, Claygent, and Sequencer (up to 200 rows/table). | No public free tier; free personalized demo offered. |
| Pricing confidence | public exact | contact only |
| Feature |
C
Clay
|
G
Genesy
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Partial |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Partial | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Partial | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
No / Not documented | No / Not documented |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | No / Not documented |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Partial | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | No / Not documented |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | No / Not documented |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
C
Clay
|
G
Genesy
|
|---|---|---|
|
Entry price Lowest public entry point |
Free · Launch $185/mo (2,500 Data Credits) · Growth $495/mo (6,000 Data Credits) · Enterprise custom · usage-based (Data Credits + Actions) | Custom quote only (tailored to team size, usage, and features) · demo-led |
|
Pricing confidence How public the numbers are |
Public — exact | Contact only |
|
Billing Primary billing axis |
Usage based: monthly subscription tier plus two credit pools, Data Credits (marketplace data/AI) and Actions (platform operations). Unlimited seats. | Custom contract tailored to business needs, platform usage, and features contracted |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Sales call |
Choose Clay if
- Published credit pricing and unlimited seats fit self serve adoption.
- The enormous enrichment provider ecosystem is the point.
- Your ops team wants a power tool, not a managed service.
Choose Genesy if
- An all in one guided platform with onboarding suits your team's capacity.
- European data operations and compliance posture matter to you.
- A scoped quote covering data plus outreach fits your buying style.
Genesy is rebranding to Enginy. Confirm current branding and packaging in any evaluation.