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Actively AI vs Clay: Which AI agent is better?

Compare pricing, AI models, integrations, security posture, pros, cons, and buyer fit before choosing the right AI sales / crm agent for your workflow.

Verdict: Actively AI vs Clay

Pick Actively AI if you need agent for gtm teams automating prospecting and lead qualification. Pick Clay if you need data enrichment and personalized outreach platform with 75+ data providers.

More integrations

Clay integrates with 9 platforms.

Best AI agent for GTM teams automating prospecting and lead qualification

Actively AI

Actively AI deploys autonomous AI agents for go-to-market teams that handle the full prospecting workflow—from identifying target accounts and researching contacts to qualifying leads and personalizin...

AI Models
GPT-4oProprietary intent signal modelsCustom NLP for research
Key Features
  • Autonomous account identification using real-time buying intent signals
  • Deep prospect research across LinkedIn, news, and company data
  • ICP-based lead scoring and qualification without manual review
  • Hyper-personalized outreach generation per prospect
  • CRM integration pushing qualified leads into pipeline automatically
Pricing
GrowthCustom pricing
EnterpriseCustom pricing
Pros
  • Real-time intent signal detection identifies high-probability accounts before competitors
  • Autonomous end-to-end prospecting eliminates manual SDR research time
  • ICP scoring ensures sales reps only engage with qualified opportunities
Cons
  • Custom pricing model lacks transparency for budget planning
  • Effectiveness depends heavily on quality of ICP configuration at setup
Best data enrichment and personalized outreach platform with 75+ data providers

Clay

Clay is a powerful data enrichment and outbound personalization platform that aggregates data from 75+ providers—including Clearbit, LinkedIn, Apollo, Hunter, BuiltWith, and dozens more—into a single ...

AI Models
GPT-4oClaygent web research AICustom enrichment models
Key Features
  • 75+ data provider integrations in single enrichment workspace
  • Claygent AI research agent answering custom prospect questions
  • Waterfall enrichment maximizing data coverage without duplicate spend
  • AI email writer generating deeply personalized outreach from enriched data
  • Spreadsheet-like interface with formulas and conditional logic
Pricing
Launch$185/month
Growth$495/month
EnterpriseCustom
Pros
  • 75+ data providers in one workflow eliminates the need to manage multiple tools
  • Claygent answers custom research questions no static database can address
  • Waterfall enrichment maximizes coverage while minimizing redundant data spend
Cons
  • Credit-based pricing can escalate quickly at scale without careful management
  • Steep learning curve for non-technical users—best suited for growth engineers

Who should buy this

Clay

Best for
  • Growth / RevOps engineer building waterfall enrichment workflows
  • Outbound sales team that needs CRM-clean enrichment + research at scale
  • Mid-market or enterprise B2B org consolidating multiple data tools (Apollo + ZoomInfo + Clearbit) into one workflow
Not ideal for
  • Non-technical SDRs without an ops counterpart (steep learning curve)
  • Buyers seeking transparent per-record pricing (credit math gets complex)
Realistic monthly cost

Solo / starter: free 500 actions/mo. Growth team: $167/mo Launch (15K actions). Sales eng team: $446/mo Growth (40K actions). Enterprise: custom annual.

Verified 2026-05-02

Capabilities at a glance

CapabilityActively AIClay
75+ data providers in one workflow
Apollo, Clearbit, LinkedIn, etc.
Claygent (LLM-powered research agent)
Waterfall enrichment
Cascade providers by hit rate
API access
CRM integrations (Salesforce, HubSpot)
On-prem / self-hosted
Supported Partial Not supported No data

Security & compliance

Standard / controlActively AIClay
SOC 2
Type II
ISO 27001
GDPR
SSO / SAML
RBAC
Audit logs
Trains on customer data
No
Clay verified at clay.com

What users say

Clay

Reddit sentiment: Positive
Notable customers

Anthropic, Notion, Intercom, Ramp, Brex

Frequently asked questions

What AI models do Actively AI and Clay use?+

Actively AI runs on GPT-4o, Proprietary intent signal models, Custom NLP for research. Clay runs on GPT-4o, Claygent web research AI, Custom enrichment models.

What is the main difference between Actively AI and Clay?+

Actively AI is positioned as best ai agent for gtm teams automating prospecting and lead qualification, while Clay is positioned as best data enrichment and personalized outreach platform with 75+ data providers. Pick the one whose strength aligns with your primary use case.

Which has better integrations, Actively AI or Clay?+

Actively AI integrates with Salesforce, HubSpot, Outreach, Salesloft and 2 more. Clay integrates with Salesforce, HubSpot, Outreach, Salesloft and 5 more.

What are the main weaknesses of Actively AI and Clay?+

Actively AI's main drawback: custom pricing model lacks transparency for budget planning. Clay's main drawback: credit-based pricing can escalate quickly at scale without careful management.

Are Actively AI and Clay worth it in 2026?+

Both remain competitive sales / crm options in 2026. Actively AI stands out for real-time intent signal detection identifies high-probability accounts before competitors. Clay stands out for 75+ data providers in one workflow eliminates the need to manage multiple tools. Choose based on which trade-offs fit your workflow and budget.