Clay vs Captain Data (2026)
Clay vs Captain Data comes down to one fundamental question: do you need a visual GTM workflow tool or a raw B2B data API? Clay is built for RevOps and GTM teams who want to orchestrate enrichment, signals, and CRM actions without writing code. Captain Data is built for developers and AI engineers who need structured B2B data endpoints to power products and agents.
Clay wins for GTM and RevOps teams that need waterfall enrichment across 150+ providers, AI-assisted research, and workflow automation in a no-code visual interface. Captain Data wins for developers and AI engineers who need accurate B2B data delivered via API endpoints to build product features or power AI agents. These two tools are not competing for the same buyer. Clay replaces a patchwork of enrichment subscriptions and manual workflow steps. Captain Data replaces a direct contract with a single data provider for teams that want programmatic access, usage-based pricing, and MCP integration. If you are building GTM workflows and do not have engineering resources to implement an API, Clay is the only practical option. If you are building a product or AI agent that needs to query B2B data at scale, Captain Data's endpoint model is purpose-built for that use case.
Fast Answer
Clay vs Captain Data: who wins for what
Side-by-Side
Clay vs Captain Data: key differences
| Clay | Captain Data | |
|---|---|---|
| Best for | RevOps and GTM teams building enrichment workflows without writing code | Developers and AI engineers who need B2B data via structured API endpoints |
| Product type | No-code GTM workflow platform | B2B data API (developer product) |
| Starting price | Free (100 credits); $134/mo (Starter, annual) | Free (100 credits); €600/mo (20k credits example) |
| Pricing model | Credits + plan tier (annual billing) | Usage-based credits; volume tiers in EUR |
| Data providers | 150+ providers via waterfall | Own 7 endpoints (no multi-provider) |
| No-code visual interface | ✓ (table + workflow builder) | ✗ (API only) |
| AI research layer | ✓ (Claygent — web research agent) | ✗ |
| MCP / AI agent integration | ✗ (not confirmed) | ✓ (native MCP integration) |
| CRM push integrations | ✓ (Salesforce, HubSpot, Outreach, Salesloft, Snowflake) | ✗ (API responses only) |
| Intent signals | ✓ (job changes, web intent, mentions — Explorer+) | ✗ |
| API access | Webhooks + HTTP API (any endpoint) | ✓ (7 dedicated endpoints; full API reference) |
| Enrichment accuracy | Varies by provider; waterfall improves coverage | 95%+ accuracy; under 3s avg response |
| Security | SOC 2 Type II, GDPR, CCPA, ISO 27001 | SOC 2 Certified, GDPR, 99% uptime |
| Free tier | ✓ (100 credits; unlimited users) | ✓ (100 credits; no credit card) |
Clay pricing is in USD; annual billing only confirmed in source data. Captain Data pricing is in EUR; the €600/mo figure is an example tier for 20,000 credits. Verify current rates at clay.com/pricing and captaindata.co before committing. Monthly billing amounts for Clay are not confirmed in source data.
Feature Comparison
Where Clay and Captain Data diverge in practice
Workflow versus endpoint: Clay is fundamentally a workflow tool that happens to deliver data. You build a table, define enrichment steps, set fallback logic across providers, and push results to downstream systems. Every operation happens in a visual interface with no code required. Captain Data is a data delivery layer. You call an endpoint, receive a structured JSON response, and handle the logic in your own application.
The visual table builder, CRM push destinations, and 150+ provider waterfall give RevOps and Sales Ops teams the ability to build sophisticated enrichment workflows without writing a single line of code. Captain Data requires API implementation and application logic the team must build themselves.
Provider coverage versus endpoint precision: Clay's waterfall model runs enrichment requests across multiple providers in sequence, falling back to the next provider if the first returns no result. This maximizes coverage on messy or incomplete lists. Captain Data's 7 endpoints source from its own data layer with a stated 95%+ accuracy and sub-3-second response times. The tradeoff is depth of provider network versus speed and consistency of a single authoritative source.
Native MCP integration lets Captain Data slot directly into AI agent frameworks and tool-calling workflows. The interactive demo environment lets developers validate data quality against live endpoints before writing any production code. Clay has no confirmed MCP support.
AI capabilities: Clay's Claygent is an AI research agent that can visit any domain, extract unstructured information, and write it back into structured Clay columns. This is distinct from standard enrichment: it can answer custom prompts like "what does this company do?" or "does this person work in outbound sales?" Captain Data has no equivalent AI research layer. Its value is structured data delivery, not open-ended web research.
Pricing Reality
Which costs more and what drives that cost
Clay pricing: The free plan gives 100 credits and unlimited users. The Starter plan runs $134/mo on annual billing with a 5,000 search limit per run and CRM integrations. The Explorer plan at $314/mo adds web intent signals, and the Pro plan at $720/mo adds Snowflake integration, SSO, dedicated Slack support, and 50,000 searches per run. Enterprise pricing is custom. Monthly billing amounts are not confirmed in source data.
Captain Data pricing: The free tier gives 100 credits with no credit card required. A published example tier is €600/mo for 20,000 credits at €29.99 per thousand. The base rate without volume discounts is €59.99 per thousand credits. Volume pricing scales up to 50 million credits per month for enterprise use. All pricing is in EUR; USD equivalents are not confirmed.
Clay credits cover workflow steps, provider queries, and Claygent runs at different rates depending on the operation. Captain Data credits map one-to-one with records processed (1 credit per record on most endpoints). Do not compare credit volumes directly between the two tools. Estimate costs based on your actual use case at each tool's pricing page.
Clay's cost justification depends on workflow complexity. A team enriching 10,000 contacts per month with 3 enrichment columns and Claygent research will spend meaningfully more than the base plan price, but replaces multiple single-provider subscriptions. Captain Data's cost scales purely with volume; at 20,000 records per month, the example pricing is €600/mo, which may be competitive or expensive depending on how many records a team actually processes.
Strengths and Tradeoffs
What each tool does and doesn't do well
Clay
Strengths
150+ data providers accessible through waterfall enrichment logic, removing the need for individual provider subscriptions
Claygent AI web research agent can extract any information from any domain and write structured answers back into workflow columns
Native destinations push enriched data directly to Salesforce, HubSpot, Outreach, Salesloft, Snowflake, and sequencing tools
Intent signals at Explorer+ (job changes, web intent, mentions) enable trigger-based outbound workflows without a separate signals vendor
SOC 2 Type II, GDPR, CCPA, ISO 27001 certifications; free plan with unlimited users and 100 credits requires no credit card
Tradeoffs
Intermediate learning curve; teams new to Clay require onboarding time to understand the credits model, waterfall logic, and column setup
Monthly billing amounts not published in confirmed source data; annual billing with all credits upfront is the only confirmed billing model
Web intent signals and Snowflake integration are gated to Explorer ($314/mo) and Pro ($720/mo) respectively; entry Starter plan covers CRM push only
Not a contact database; Clay requires you to bring your own lists or import from a prospecting tool before enrichment can begin
Captain Data
Strengths
7 structured endpoints with 95%+ stated accuracy and under 3 seconds average response time for people and company enrichment
Native MCP (Model Context Protocol) integration lets AI agents and frameworks call B2B data endpoints directly without custom middleware
Interactive demos run against live endpoints before any implementation, allowing developers to validate data quality before writing production code
Usage-based credits model with volume discounts scales from 100 free credits to 50 million credits per month for large-scale product use cases
SOC 2 Certified, GDPR compliant, 99% uptime SLA; JSON responses with full API reference and HTTPS/API key authentication
Tradeoffs
No visual UI, no workflow builder, and no no-code option; requires engineering resources to implement and integrate API responses
Pricing is in EUR only; USD equivalents not confirmed in source data, adding cost uncertainty for non-EUR teams
7 endpoints cover core enrichment use cases but do not aggregate across multiple data providers the way Clay's waterfall model does
G2 and Capterra ratings not confirmed in source data; harder to benchmark against peer tools on independent review platforms
Final Take
Our recommendation
Clay is the pick for GTM teams, RevOps, and Sales Ops who need to enrich data, run AI research, and push results to CRMs and sequencers without writing code. The 150+ provider waterfall, Claygent, and native integrations into every major GTM destination make it the most complete enrichment and activation platform available without an engineering team.
Captain Data is the pick for developers and AI engineers who need reliable B2B data delivered through structured API endpoints. The MCP integration and interactive demo environment make it well-suited for teams building AI agents or SaaS features where clean, fast B2B data is a dependency, not a workflow step.
Some teams use Captain Data's API endpoints to power product features and Clay to run outbound enrichment workflows for the same company. They solve different problems for different teams and are not mutually exclusive. If your question is "which one should run our GTM enrichment," the answer is Clay. If your question is "which API should power our AI agent's contact lookup," the answer is Captain Data.
Common Questions
Frequently Asked Questions
Clay is better for RevOps and GTM teams that need a no-code enrichment workflow with 150+ data providers, AI research, and CRM push integrations. Captain Data is better for developers building AI agents or product features that need B2B data via structured API endpoints. These tools serve different buyers and are not direct competitors for the same workflow.
Captain Data is built for developers and requires API implementation. It does not have a no-code visual interface for building workflows. Non-technical GTM teams will find Clay significantly more accessible, while technical product and engineering teams will find Captain Data's endpoint model more appropriate for their use case.
Both offer 100 free credits with no credit card. Clay's first paid tier starts at $134/mo annual. Captain Data's example pricing is €600/mo for 20,000 credits, but volume discounts reduce the per-credit cost significantly at scale. Costs are not directly comparable because Clay credits cover multi-step workflow operations while Captain Data credits map one-to-one with records processed. Estimate based on your actual monthly volume at each tool's pricing page.
Clay supports webhooks and HTTP API connectivity, which lets technical teams trigger Clay workflows from external systems or push data to any HTTP endpoint. This is different from Captain Data's model, where the API is the primary product interface. Clay's API capabilities are supplemental to its visual workflow builder; Captain Data's API is the entire product.
Both tools offer free credits with no credit card required.
Clay gives 100 free credits to test enrichment workflows and Claygent. Captain Data gives 100 free credits to test API endpoints with live data before writing any code.