# Clay — GTM data platform with an AI research agent (Claygent), enrich, research and personalise outbound at scale.

> Source: The Agents Index — https://theagentsindex.com/clay (structured, researched, re-verified)
> Facts last verified: 2026-07-23

Clay is a go-to-market data platform that combines "waterfall" data enrichment, an AI research agent called Claygent, and outbound tooling in one spreadsheet-like workspace. Revenue teams use it to source target accounts, enrich contacts across 200+ data providers in a single subscription, mine the web for intent signals, and draft personalised messages at scale. Claygent is the AI piece: an agent that visits company sites, LinkedIn profiles and news to extract custom data points no single provider covers. It’s popular with GTM engineers as the orchestration layer between raw data and their outbound and CRM tools. Clay was founded in 2017 by Kareem Amin and Nicolae Rusan, with Varun Anand joining as co-founder in 2021; it is headquartered in New York. The company raised a $100M Series C led by CapitalG (Alphabet’s growth fund) in August 2025 at a $3.1B valuation, crossed $100M in annual recurring revenue in December 2025, and priced a follow-on employee tender offer led by DST Global at a $5B valuation in January 2026.

| Fact | Value |
| --- | --- |
| Website | https://www.clay.com |
| API | Yes |
| Best for | GTM/RevOps teams (ideally with a GTM engineer) that want the best enrichment plus AI research to power outbound at scale. |
| Not for | Small sales teams without technical support, or anyone who needs simple, predictable flat-rate pricing. |

## Verdict

Clay has become the GTM data layer serious outbound teams build on, and for good reason: its waterfall enrichment posts materially higher match rates than any single-source tool, and Claygent adds AI research that scrapes the web for data points no provider packages. Put together with signals, scoring, AI copy, a sequencer and ad-audience sync, it takes you from raw list to CRM-ready outbound in one workspace, with unlimited seats on every plan. The tradeoffs are equally well documented: the dual credit meter is genuinely hard to predict, failed lookups still cost credits and Claygent-heavy runs can balloon at scale, and the tool has a steep enough learning curve that it really wants a dedicated GTM engineer. Pick Clay if you have the technical appetite and a budget above a few hundred dollars a month; skip it if you need predictable flat pricing or have no one to build the workflows.

## Strengths and weaknesses

- ✓ Waterfall enrichment is widely regarded as the best on the market for coverage and match rate.
- ✓ Claygent extends enrichment to bespoke, AI-scraped data points; unlimited seats on all plans.
- ✓ Backed by real, named customer results, not just vendor claims, security-compliance firm A-LIGN cut research costs 83% and generated $5.7M in qualified pipeline within a 2-month rollout, versus a prior 6-month manual process.
- ✗ Credit-based pricing is hard to predict, failed lookups still burn credits, and Claygent-heavy workflows can cost an order of magnitude more at scale.
- ✗ Steep learning curve, it really pays off with a dedicated "GTM engineer," not a casual user.
- ✗ Not built for teams that need flat, predictable monthly costs or that lack technical support.
- ⚠ Costs scale non-linearly with row count and AI usage, budget the two credit meters carefully.
- ⚠ Best value above roughly $500/month with someone who can build workflows; overkill for small, simple lists.

## Key features

- **Waterfall enrichment** — Queries 200+ data providers in sequence until one returns a match, beating any single source on coverage.
- **Claygent (AI research agent)** — An AI agent that scrapes company sites, LinkedIn and news to extract custom data points no provider packages.
- **Signals + scoring** — Track job changes, promotions and web intent, then score and segment accounts automatically.
- **AI messaging + Sequencer** — Generate 1:1 personalised copy and run email sequences natively.
- **API, CLI + ad-audience sync** — Push clean data to Salesforce, a warehouse, or LinkedIn/Meta/Google ad audiences.

## Use cases

- **Build a targeted prospect list** — Source ICP accounts, waterfall-enrich the contacts, then have Claygent research each one before outreach.
- **Enrich inbound automatically** — Enrich and route inbound leads and keep CRM records clean via reverse ETL.

## Integrations

200+ data providers (waterfall) · Salesforce & HubSpot (CRM) · LinkedIn / Meta / Google (ad audiences) · Snowflake / warehouses (reverse ETL) · HTTP API, CLI + agent plugin · Model Context Protocol (MCP) — Clay runs its own MCP server so Claude, ChatGPT, Copilot and Glean can query a workspace directly

## Sources

- https://www.clay.com/pricing
- https://www.g2.com/products/clay-com-clay/reviews
- https://www.clay.com/dossier/clay-funding
- https://www.clay.com/customers/a-lign
- https://university.clay.com/docs/mcp-settings