Clay

About this listing

Product and access model reviewed from current official sources; workflow and example are editorial suggestions, not a hands-on test.

Official source

Build sales research and enrichment workflows with data-provider waterfalls, AI account research, and CRM handoff.

Sales & CRM

Best suited to

Clay suits sales operations teams building a repeatable research table.

Meet Clay

Clay suits sales operations teams building a repeatable research table. It combines data providers, AI research and actions so a record can move through an enrichment workflow. The useful output is a checked account or lead record with provenance, not a large list of unchecked personalized messages.

A practical workflow

Start with a small authorized account list and define the needed fields.
Choose enrichment providers and an AI research task.
Inspect a sample of returned facts and their supporting sources.
Send approved records to the supported destination and monitor usage.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

For each supplied company website, find its stated customer segment and link the page that supports the answer. Leave unsupported fields blank.

Result check: Check domains, sources and dates before treating an inferred fact as sales data.

Access and alternatives

The Free plan has recurring Data Credits and Actions with table-size limits. Paid plans expand allowances and connectors; some providers or CRM operations have their own costs. Estimate both data credits and actions for the workflow.

Choose another workflow when its emphasis fits better: Apollo.io for prospect discovery and outreach; HubSpot AI for AI inside a CRM workspace.

Illustrative workspace photo — Illustrative stock photo from Unsplash; not a screenshot of Clay.

What you can do

Table-based enrichment workflows

Provider waterfall enrichment

Claygent account research

Intent and signal inputs

CRM enrichment integrations

Where it helps

Multiple data sources can fill one research table
Waterfalls can sequence providers
Checked records can move toward an existing CRM workflow

What to consider

Credits and actions are separate allowances
Advanced connectors and large tables require eligible plans

Pricing & free access

Official pricing

Free plan + paid

The Free plan has recurring Data Credits and Actions with table-size limits. Paid plans expand allowances and connectors; some providers or CRM operations have their own costs. Estimate both data credits and actions for the workflow.

Plan information can change. Prices and conditions are set by the provider. Information checked 2026-10-15.

Source for access details

Get free-plan changes by email

One email a week: new free AI tools, prompts and free-plan changes. No spam, unsubscribe any time.

Questions about Clay

Who is Clay useful for?

Clay suits sales operations teams building a repeatable research table. It combines data providers, AI research and actions so a record can move through an enrichment workflow. The useful output is a checked account or lead record with provenance, not a large list of unchecked personalized messages.

Does Clay have continuing free access?

The Free plan has recurring Data Credits and Actions with table-size limits. Paid plans expand allowances and connectors; some providers or CRM operations have their own costs. Estimate both data credits and actions for the workflow.

How should I start a small evaluation?

Start with a small authorized account list and define the needed fields. Choose enrichment providers and an AI research task.

What should I check in the result?

Check domains, sources and dates before treating an inferred fact as sales data.

When should I choose a different workflow?

Apollo.io for prospect discovery and outreach; HubSpot AI for AI inside a CRM workspace.

Did this help you complete your task?

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Review evidence

Documentation-based review · 2026-10-15

Reviewed from the linked official documentation. The workflow and example are editorial suggestions; no account-level product test or measured performance comparison was performed.