Clay
Clay · Coding
Clay is an AI sales platform that finds and enriches prospect data, researches target accounts, and runs go-to-market workflows. It suits sales and marketing teams building pipeline at scale.
About Clay
What Is Clay
Clay is a go-to-market platform that pulls together prospect data, AI research, and workflow automation in one place. As an AI GTM platform, it replaces the usual stack of separate apps a sales prospecting tool would leave behind, so teams run the whole sequence inside Clay's spreadsheet-style interface.
The core idea is simple. You import a list of companies or people, then add columns that fetch missing details, score leads, or ask an AI agent to research a target and write something for it. Under the hood, Clay connects to hundreds of data providers, so you can combine several sources to fill a gap instead of trusting one. That single table becomes the engine for outbound campaigns, CRM cleanup, and account research.
The catch is that Clay assumes you know what you want to do. It's built for people who run sales or marketing plays, not casual users, and the learning curve is real. The free plan caps usage, data credits cost extra, and anything you run at volume gets billed by actions and credits. None of that's a problem for a GTM team. It is for someone who just wants a quick contact list.
Getting Started
- Create a free account on the Clay website and pick a starting template or a blank table.
- Import your seed list by pasting rows, uploading a CSV, or syncing from a CRM or data source.
- Add enrichment columns to fill in missing fields like email, title, or company size.
- Drop in an AI agent step, such as a Claygent, to research an account or write a personalized line.
- Push the finished rows back to your CRM, a sequencer, or an ad platform to act on them.
Product Information
A quick look at Clay's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Sales development reps
- Growth and marketing teams
- Revenue operations specialists
- Founders and small sales teams
Tasks
- Finding work emails and phone numbers
- Researching target accounts
- Writing personalized openers
- Cleaning CRM data
- Scoring and routing leads
Scenarios
- Launching an outbound campaign
- Mapping a total addressable market
- Enriching a list for ad targeting
- Catching buying signals
Key features
Data enrichment from many providers
Clay's core is a data layer that pulls details about people and companies from a marketplace of providers. You add a column, pick what you want to find, and Clay fetches it, often by combining several sources so you get better coverage than any single vendor. For a sales team, that means fewer gaps in a list and less manual lookups. Data credits cover the cost, and they're billed separately from your plan.
AI agents for research
Claygents are AI agents that research a company or person and return structured findings, such as a summary of recent news or a custom message. Instead of a rep spending twenty minutes on a target, the agent does the reading and hands back a first pass. The output still needs a human check before it goes out, but it removes most of the grunt work behind personalization.
Waterfall enrichment
Waterfall lets you stack several data providers in one column and let Clay try them in order until one returns a result. That matters because coverage differs by region and industry, and a single source leaves gaps. Stitching them together inside one step lifts the hit rate without you checking each provider by hand.
Workflow automation
Clay runs multi-step workflows that trigger research, enrichment, and actions across connected tools. You can watch for a signal, enrich the matched record, and send it to a sequencer or CRM in one flow. The point is to replace a chain of manual steps with something that runs on its own, and to keep the logic in one place instead of scattered across apps.
CRM and app integrations
Clay connects to the tools a revenue team already uses, from Salesforce and HubSpot to sequencers and ad platforms. You can push enriched rows into a CRM, sync audiences for ads, or trigger outreach without exporting files. That keeps Clay as the workspace where the work happens rather than another silo.
API and MCP access
Clay exposes an API and an MCP server, so developers and reps can pull prospect data into their own tools or into an AI assistant workflow. An MCP endpoint lets an AI tool query Clay for the best available data, which fits teams wiring Clay into a coding agent or a chat interface. Access and scope depend on your plan.
Pros and cons
Pros
- Pulls enrichment, AI research, and automation into one table, so teams stop switching between tools.
- Waterfall enrichment lifts coverage by combining providers instead of relying on a single source.
- The AI research agents handle the repetitive digging that usually eats a rep's day.
- Deep integrations mean enriched data flows straight into a CRM, sequencer, or ad platform.
- A free plan lets you test the workflow before committing to a paid tier.
Cons
- The learning curve is steep, so someone needs to learn the table logic before the tool pays off.
- Usage is billed by actions and data credits on top of the plan, which can push real costs higher than the headline price.
- It's built for sales and marketing plays, so it's overkill for anyone who just wants a simple contact list.
- Heavy data pulls can get expensive, and teams with high volume need to watch their credit spend.
Frequently asked questions
Clay is used to build and run go-to-market workflows. Teams import a list, enrich it with data from many providers, have AI agents research targets, and push the results into a CRM, sequencer, or ad platform. It's the workspace where prospecting and outreach data come together.
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