Clay API

Clay — AI-powered data enrichment and outbound sales automation platform that waterfalls 75+ data sources to find contact info, company data, and trigger personalized outreach at scale.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools clay data-enrichment sales outbound lead-gen waterfall ai-enrichment
⚙ Agent Friendliness
55
/ 100
Can an agent use this?
🔒 Security
77
/ 100
Is it safe for agents?
⚡ Reliability
74
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
75
Error Messages
70
Auth Simplicity
82
Rate Limits
68

🔒 Security

TLS Enforcement
100
Auth Strength
75
Scope Granularity
62
Dep. Hygiene
72
Secret Handling
75

SOC2 certified. TLS enforced. US-only data processing. GDPR compliance for EU data collection requires careful evaluation — depends on underlying data sources used.

⚡ Reliability

Uptime/SLA
78
Version Stability
75
Breaking Changes
72
Error Recovery
72
AF Security Reliability

Best When

Your sales/outbound agent needs to enrich lead lists using multiple data sources with fallback waterfall logic and AI personalization, without managing individual data provider APIs.

Avoid When

You need synchronous, real-time data enrichment in a request/response pattern — use Clearbit or Apollo's direct API.

Use Cases

  • Agents triggering Clay enrichment tables to enrich lead lists with company data, emails, and contact info
  • Waterfall enrichment — agents submitting contacts to Clay which tries multiple data sources until finding email/phone
  • ICP scoring — agents running Clay AI formulas to score leads against ideal customer profiles automatically
  • Outbound automation — agents populating Clay tables with prospects to trigger personalized email sequences
  • Research automation — agents using Clay's AI agent row mode to do deep company research for each prospect

Not For

  • Real-time enrichment API calls — Clay is table/workflow-based, not a synchronous enrichment endpoint
  • Teams needing raw data API access — Clay abstracts data sources; use Clearbit or Apollo directly for raw API access
  • Non-sales use cases — Clay is optimized for sales/outbound, not general data enrichment

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
Yes

Authentication

Methods: api_key
OAuth: No Scopes: No

API key from Clay account settings. Bearer token in requests. Webhook auth via secret for incoming data. Account-level access — no scope granularity.

Pricing

Model: pay-as-you-go
Free tier: Yes
Requires CC: Yes

Credit-based pricing — each enrichment action consumes credits. External data source integrations may consume multiple credits. Credit costs vary by data action complexity.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • Clay is workflow-first, not API-first — programmatic control is secondary to the visual UI experience
  • Enrichment is async — agents must poll table status or use webhooks to know when enrichment is complete
  • Credit consumption is non-deterministic — waterfall enrichment may consume 1-10 credits per row depending on data found
  • Table schema must be pre-defined in UI — agents cannot create new columns/formulas purely via API
  • Data from Clay's 75+ integrations has varying freshness — some sources are real-time, others weekly refreshed

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Clay API.

$99

Scores are editorial opinions as of 2026-03-06.

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