> Enrich.chat gives AI agents verified work emails and mobiles. To use it from an agent, read https://enrich.chat/agents.md . This is the Markdown version of https://enrich.chat/blog/claygent/

# Claygent explained: what Clay's AI research agent does, what it costs and what to use instead

Claygent reads the web and writes a structured answer into every row of a Clay table. Here is how it works, how Clay bills it, and when another tool is the better fit.

By Enrich.chat Editorial. Updated October 15, 2026.

**Short answer:** Claygent is Clay's AI research agent. You describe a job in plain English, and it reads the web or your table and writes a structured answer into each row, per [Clay](https://www.clay.com/claygent). It is included on every Clay plan, Free too. Each run uses 1 Action plus data credits: 0.5 to 3 on fixed-price models, or a variable amount on reasoning models, per [Clay's AI pricing doc](https://university.clay.com/docs/ai-pricing).

## Key takeaways

- A Claygent takes inputs, follows your instructions and writes a structured output. A general-purpose Claygent runs on one table row. An Account Agent runs across a whole Audiences segment and is in beta.
- Claygents in tables are on every Clay plan, Free included. Account Agents need Launch, Growth or Enterprise.
- Each run uses 1 Action plus data credits. For web research, Clay's fixed-price models cost 0.5 to 3 credits a row. 10 of the 16 models in Clay's price table are variable-priced.
- At Launch rates, 1,000 web research rows cost about $54 on a 1-credit model and about $154 on Argon. That is our arithmetic from Clay's published prices.
- Testing in Claygent Builder is free for up to 10 inputs at a time. Claygent is not a contact database, so it returns no email status unless you add a validation step.

## What is Claygent?

Claygent is the AI research agent inside Clay, the table-based sales data tool. You describe a job in plain English, and Claygent does it for each row of a table. [Clay's Claygent page](https://www.clay.com/claygent) says a Claygent takes inputs, follows your instructions and writes a structured output.

A typical job is a question that no data vendor answers. ZenML's [summary of a Clay engineering talk](https://www.zenml.io/llmops-database/ai-powered-sales-intelligence-and-go-to-market-orchestration-platform) gives one example: does this company mention AI in its support documentation? The same summary dates Claygent's launch to 2023. Clay lists four common uses: account research, finding bespoke data, personalized outbound and scoring prospect lists.

Clay sells two kinds of agent:

- **A general-purpose Claygent** runs in a table or a workflow, on one row at a time. It is on every plan, Free included.
- **An Account Agent** runs across every account in an Audiences segment and remembers what it learned. [Clay](https://www.clay.com/claygent) lists it as a beta feature for Launch, Growth and Enterprise.

Claygent is not a contact database. Clay sells emails, phone numbers and company data separately, through a marketplace of more than 150 data partners, and bills them in data credits, per [Clay's pricing page](https://www.clay.com/pricing). Our [Clay pricing guide](https://enrich.chat/blog/clay-pricing/) explains both of Clay's meters.

## How does Claygent work?

A Claygent reads the table columns you map to it, follows your prompt with the model and tools you choose, and writes typed fields back to the row. You build and manage Claygents in Claygent Builder, found under Agents in Clay's left menu, per [Clay's Builder doc](https://university.clay.com/docs/claygent-builder).

1. **Describe the job.** Start from a blank prompt, from a template for prospecting, account scoring, contact scoring or copywriting, or in a chat with Sculptor. Sculptor is Clay's chat assistant, and it drafts the prompt, variables, output format and test cases.
2. **Choose a model.** Builder lists frontier models, open-weight models and Clay-managed models such as Neon and Argon. You can swap models without changing the prompt.
3. **Switch on tools.** The options are web search, a find contacts and jobs tool, uploaded documents and the business context from your workspace settings. Clay says to turn web search off when the data is already in the table, which keeps runs faster and more consistent.
4. **Add skills.** A skill is a saved method, such as how your team researches an account. A Claygent loads a skill only when a step needs it.
5. **Test for free.** You can run up to 10 test inputs at a time without spending credits, compare versions and roll back.
6. **Deploy.** Add an AI column to a table, pick a saved Claygent, and its variables map to your columns. Update the agent once and every table that uses it gets the change. Runs already in progress finish on the old version.

**Figure 1: What happens in one Claygent run.** A Claygent run takes mapped table columns as inputs, such as a company domain, a LinkedIn URL and your own columns. The Claygent applies a prompt, a model, tools such as web search and a contacts finder, and saved skills and documents. It writes typed fields and a reasoning trace back to the row. Each run uses 1 Action plus data credits, fixed for Clay's own models and variable for reasoning models. Test runs in Claygent Builder use no credits.

*The parts of a Claygent run in a Clay table. Sources: [Clay's Claygent Builder doc](https://university.clay.com/docs/claygent-builder), [Clay's Claygent page](https://www.clay.com/claygent) and [Clay's AI pricing doc](https://university.clay.com/docs/ai-pricing), checked October 15, 2026.*

Each result comes with a reasoning trace, so you can see why a Claygent chose a value, per [Clay's Claygent page](https://www.clay.com/claygent). In a Use AI column, the same kind of job appears as the Web research (Claygent) use case, which [Clay's Use AI doc](https://university.clay.com/docs/use-ai-integration-overview) describes as scraping and analyzing websites.

## What is Claygent good at, and where does it fall short?

Claygent is good at judgment work on public information: researching, scoring, classifying and drafting. It falls short when you need a fixed, checkable field such as a verified email, or memory of an account.

### What Claygent does well

- **Account research.** [Clay's Builder doc](https://university.clay.com/docs/claygent-builder) describes an agent that summarizes what a company is doing now, with recent news, funding events and hiring signals.
- **Bespoke data.** Clay's page names web research, niche signals and proprietary data points that no provider sells.
- **Scoring.** Builder's example is a lead scoring agent that checks prospects against your ICP and returns a score from 1 to 100 with a reason.
- **Classifying and copy.** Persona classification by tier or buying role, and outbound emails that use your ICP and tone documents.

### Where Claygent falls short

- **One row at a time, with no memory.** [Clay's Account Research Agents doc](https://university.clay.com/docs/account-research-agents) says a Claygent in a table looks up one record, resets after each run and checks only the field or source you configure. It stays current only when you rerun it.
- **Answers can be wrong.** [Kalai and co-authors argue](https://arxiv.org/abs/2509.04664) that models state falsehoods with confidence because training and testing reward guessing over admitting doubt. Clay's [credit-saving guide](https://university.clay.com/docs/clay-credit-conservation) says AI prompts may need several rounds of edits and advises testing about 10 rows first.
- **No built-in email status.** A Claygent writes the fields you ask for. Clay's Claygent docs describe no email status such as verified or catch-all, so add a validation step before you send.
- **Account Agents have fewer controls.** They run on a model Clay picks, not one you choose, and [Clay's workflow doc](https://university.clay.com/docs/account-agents-in-workflows) says a workflow node has no spending cap yet.

## How much does Claygent cost?

Claygent pricing has two parts: 1 Action plus data credits for each run, and the credits depend on the model. [Clay's Claygent page](https://www.clay.com/claygent) says it charges for the real complexity and token use of each request. Test runs in Claygent Builder cost nothing, and Builder itself is [free on every plan](https://community.clay.com/x/announcements/lrnxk56a8z9r/claygent-builder-is-live-build-test-and-deploy-gtm), per Clay's May 7, 2026 announcement.

The plan sets how many Actions and credits you get each month. These are Clay's plan sizes on [its pricing page](https://www.clay.com/pricing), checked October 15, 2026:

| Clay plan | Price a month | Data credits | Actions |
| --- | --- | --- | --- |
| Free | $0 | 100 | 500 |
| Launch | From $185 | 2,500 and up | 15,000 and up |
| Growth | From $495 | 6,000 and up | 40,000 and up |
| Enterprise | Custom | 100,000+ | 200,000+ |

Claygents in tables work on all four plans. Account Agents, which are in beta, work on Launch, Growth and Enterprise. Data credits start at $0.05 each on the smallest tier, and Launch's 15,000 Actions cost $60 a month, or $0.004 each. Our [Clay pricing guide](https://enrich.chat/blog/clay-pricing/) covers every tier and the rollover rules.

### How many credits does a Claygent row use?

For web research, a fixed-price model uses 0.5 to 3 credits a row, and 10 of the 16 models in Clay's price table are variable. This is [Clay's AI pricing table](https://university.clay.com/docs/ai-pricing), with credits per row:

| Model | Web research | Content generation |
| --- | --- | --- |
| GPT-5 Nano | 0.5 | 0.2 |
| Helium (Clay) | 1 | Not listed |
| GPT-5 Mini | 1 | 0.4 |
| Gemini 2.5 Flash and Flash Lite | 1 | 0.5 |
| Argon (Clay) | 3 | Not listed |
| Ten variable-priced models, including GPT-4.1, o3, Claude 4.6 Opus, Gemini 2.5 Pro and Kimi K2.6 | Variable | 1 to 7.5 |

Clay's table does not list Neon, another Clay-managed model, so its credit cost is not stated there. The doc says all of Clay's own models, Neon included, use fixed pricing. The product shows a model's price when you select it.

Variable pricing follows the real cost of the model call. Credits equal the LLM cost in dollars divided by your cost per credit, with no markup, per [Clay's AI pricing doc](https://university.clay.com/docs/ai-pricing). Clay first withholds an estimate based on the 75th percentile of past runs, multiplies it by your row count, then refunds any surplus or charges any shortfall. If your balance reaches zero mid-run, processing stops and you are never charged beyond it.

### What does 1,000 Claygent rows cost?

At Launch rates, 1,000 web research rows cost about $54 on a 1-credit model and about $154 on Argon, before any plan fee. Each row uses credits at $0.05 plus one Action at $0.004.

**Figure 2: Cost of 1,000 Claygent web research rows by model.** A bar chart of the cost of 1,000 Claygent web research rows at Launch rates of $0.05 per data credit and $0.004 per Action. GPT-5 Nano, at 0.5 credits a row, costs $29. The 1-credit models Helium, GPT-5 Mini and Gemini 2.5 Flash cost $54. Argon, at 3 credits a row, costs $154. Variable-priced reasoning models show their cost per row after the run. With your own AI key the Clay side is $4 for the Actions, plus your provider's bill. Every bar includes $4 for 1,000 Actions.

*Illustrative cost of 1,000 web research rows. Assumes $0.05 per data credit, the smallest tier on [Clay's pricing page](https://www.clay.com/pricing), and $0.004 per Action, from Launch's 15,000 Actions for $60. Credits per row come from [Clay's AI pricing doc](https://university.clay.com/docs/ai-pricing). Checked October 15, 2026. Plan fees are extra.*

On Launch, which costs from $185 a month, 1,000 rows on a 1-credit model use 1,000 of the 2,500 included credits and 1,000 of the 15,000 included Actions. The same rows on Argon need 3,000 credits, which is more than Launch includes, so you would raise the credit tier or buy a top-up. On Free, 100 credits cover about 100 rows on a 1-credit model, 200 on GPT-5 Nano and 33 on Argon.

### Can you use your own AI key with Claygent?

Yes. With your own OpenAI, Anthropic or Gemini key, a run uses no data credits but still uses 1 Action, per [Clay's AI Tokens doc](https://university.clay.com/docs/ai-tokens). Your AI provider bills you directly, and Clay shows the Actions but not the token costs. That doc also lists provider tier minimums for Claygent web research on your own key, so check it first. [Clay says](https://university.clay.com/docs/ai-pricing) its built-in AI can run up to 2x faster, because it has negotiated higher rate limits.

### What do Account Agents cost?

Account Agents bill variable data credits plus 1 Action for each record they process, per [Clay's Claygent page](https://www.clay.com/claygent). Exports to your CRM or data warehouse cost nothing extra. During the open beta they are available on any plan with Audiences, and you cannot bring your own model key, per [Clay's docs](https://university.clay.com/docs/account-research-agents). Credit spend limits are an [Enterprise-only feature](https://university.clay.com/docs/credit-spend-limits-faq).

### How do you keep Claygent costs down?

- **Test first.** Use Builder's free tests, then run 10 or 50 rows before the full table. [Clay's AI pricing doc](https://university.clay.com/docs/ai-pricing) suggests this for multi-step web research, so you see each row's charge.
- **Pick a fixed-price model** when you need a cost you can predict. Move to a variable model only for hard reasoning.
- **Skip rows you will not use.** [Clay's saving guide](https://university.clay.com/docs/clay-credit-conservation) recommends conditional runs, so the Claygent runs only for rows that pass your filter.
- **Turn off Auto-run while you build,** so new rows do not trigger runs by mistake.
- **Look up before you re-run.** Pull existing data from your CRM or another table instead of researching the same account twice.

## How is Claygent different from Use AI, Account Agents, the global agent and Clay MCP?

Claygent does research and judgment on a single row. Four neighbouring Clay features sound similar but do different jobs. Here is how they differ, from Clay's docs, checked October 15, 2026:

| Feature | What it does | Where it runs | What it bills |
| --- | --- | --- | --- |
| Claygent | Researches the web and reasons over your inputs | One row, in a table or workflow | 1 Action plus credits by model |
| Use AI, content generation | Offline work such as copywriting, tone-matching and categorizing existing data | A table column | 1 Action plus fixed credits by model |
| Account Agent | Keeps account fields current from CRM, calls and signals | Every account in a segment | Variable credits plus 1 Action per record |
| Global agent | Builds and runs plays across Clay from a chat | The Agent tab, in Alpha | Chat is free in Alpha; what it runs uses credits |
| [Clay MCP](https://enrich.chat/blog/clay-mcp/) | Lets Claude or ChatGPT call Clay from outside | Your AI app | Same credits as the Clay app |

The Use AI description comes from [Clay's Claygent page](https://www.clay.com/claygent), which separates offline tasks from live research, and its billing from [Clay's Actions doc](https://university.clay.com/docs/actions-data-credits). The global agent row comes from [Clay's global agent doc](https://university.clay.com/docs/global-agent), which says it can run an Account Agent as a workflow step. Our [Clay MCP guide](https://enrich.chat/blog/clay-mcp/) covers the last row in full.

## What are the alternatives to Claygent?

No tool copies Claygent one for one. The closest options are an AI model with web search, an automation tool with an AI agent step, and, for fixed contact fields, a data API. Most lists of Claygent alternatives are really lists of Clay alternatives, so check which job you need done.

**Figure 3: Which tool fits the question.** A three-step rule of thumb. If the answer is a contact or company field, such as an email, a mobile or a tech stack, call a data API such as Enrich.chat. If the answer is a fact on public web pages, use a Claygent or an AI model with web search, one row at a time and with no memory. If the answer depends on account history from a CRM, calls or deals, use an Account Agent in Audiences, which is in beta and needs Launch or above.

*A rule of thumb, not a test result. The split between a Claygent and an Account Agent follows [Clay's Claygent page](https://www.clay.com/claygent) and [Account Research Agents doc](https://university.clay.com/docs/account-research-agents). The first row is our recommendation for fixed fields.*

| Option | Best for | What it costs |
| --- | --- | --- |
| Claude with web search | Cited research on one company at a time | $10 per 1,000 searches plus tokens |
| OpenAI web search | Quick lookups, agentic search or long deep research | A tool call cost per search action; no amount on its guide |
| n8n AI Agent node | An AI agent step for each row of a workflow | Not stated here; see our [n8n guide](https://enrich.chat/blog/n8n-lead-enrichment/) |
| A contact data API | Email, mobile, profile and tech stack fields | A fixed number of credits for each result found |

The Claude price comes from [Anthropic's web search docs](https://platform.claude.com/docs/en/agents-and-tools/tool-use/web-search-tool). They say simple factual queries typically use 1 to 3 searches and wider research can use 10 or more. At 1 to 3 searches a row, 1,000 rows cost about $10 to $30 in search fees alone, before tokens. That is our arithmetic. [OpenAI's guide](https://developers.openai.com/api/docs/guides/tools-web-search) describes three modes: non-reasoning search, agentic search and deep research. It says search actions incur a tool call cost and lists no amount. Both give you cited sources, but you build the loop and the table yourself.

The n8n route fits teams that already run workflows. [n8n's AI Agent node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/) takes a chat model and one or more tools, and the agent decides which tools to call. [Anthropic's engineers](https://www.anthropic.com/engineering/building-effective-agents) warn that agents often trade cost and speed for better results and can compound errors, so keep a human check on the output. Inside Clay, a Perplexity enrichment is a second web-search option, per [Clay's Perplexity doc](https://university.clay.com/docs/perplexity-integration-overview).

For full platforms, read our [Clay alternatives](https://enrich.chat/alternatives/clay/) guide, the [best AI SDR tools](https://enrich.chat/blog/best-ai-sdr-tools/) or our explainer on [AI sales agents](https://enrich.chat/blog/ai-sales-agents/). For the data step alone, see [what data enrichment is](https://enrich.chat/blog/what-is-data-enrichment/) and [waterfall enrichment](https://enrich.chat/blog/waterfall-enrichment/).

## When is Claygent the better choice?

Claygent is the better choice when the answer sits on public web pages, no database sells it, and a team member can own the prompt. Six cases fit well:

- **You need bespoke data.** Examples are whether a company has an open role, or what its pricing page says.
- **You want no code.** You build, test, version and roll back agents in Builder without writing a loop.
- **You want the result in a table.** Typed fields land in the row, next to your enrichment, signal and sequencer columns.
- **You want to compare models.** Builder lets you swap models without touching the prompt.
- **You need account memory.** An Account Agent keeps state per account and reads your CRM and call data.
- **You already pay for Clay.** Claygent is on every plan, so a trial costs only the credits you spend.

## Where does Enrich.chat fit next to Claygent?

Enrich.chat fits the fixed-field half of the job. It does not browse the web for open questions. It answers set lookups over a plain HTTPS API or an MCP server: a work email, a mobile, a person or company profile, a tech stack, or the people at a company. Every email comes back with a status of verified, catch_all or unknown, and the status comes from our records, not a guarantee. Treat each contact as a strong lead.

A common split is to use Claygent or an AI model for the research and an API for the contact. A work email costs 10 credits ($0.0029 on Growth, $0.0012 on Pro, if you use every credit). A mobile costs 250 ($0.0725 on Growth, $0.0299 on Pro), and a tech stack lookup costs 5 credits. A lookup that finds nothing costs 0 credits. You get 10 free lookups a day with no signup, and monthly plans from $29 have unlimited seats and no annual contract. Our [pricing page](https://enrich.chat/pricing/) lists them all: Growth $29 for 100,000 credits, Scale $90 for 500,000 credits, Pro $299 for 2,500,000 credits.

The free tier needs no key. Your agent can add the keyless MCP server using the steps on the [install page](https://enrich.chat/install/), or read the plain API instructions on the [data API for AI agents](https://enrich.chat/agents/) page. If you already build in Clay, [our Clay integration page](https://enrich.chat/integrations/clay/) shows an Enrich.chat lookup as one step in a table. [Clay's pricing page](https://www.clay.com/pricing) lists HTTP API integrations on Growth and above. This prompt adds the contact half to a research list you already have:

```text
Use www.enrich.chat to find the head of marketing at each company domain below and a work email for each. Show each email status, mark misses as not found, keep my research notes column as it is, and tell me the total credits_used: [paste domains and notes]
```

Enrich.chat has two honest gaps next to Claygent:

- **No web research agent or table builder.** It returns set fields, not answers to open questions, and nobody builds a visual workflow in it.
- **No built-in sequencing, dialer or Chrome extension.** You bring your own outreach tool, and SDKs are planned.

To go further, try the free [email finder](https://enrich.chat/tools/email-finder/), read about the [company enrichment API](https://enrich.chat/api/company-enrichment/), or look up a stack with the [tech stack lookup](https://enrich.chat/tools/tech-stack-lookup/). To buy a plan, log in at [enrich.chat/account/](https://enrich.chat/account/), and see our [terms](https://enrich.chat/terms/) and [privacy notice](https://enrich.chat/opt-out/#privacy).

## Frequently asked questions

### What is Claygent?

Claygent is the AI research agent in Clay. You give it inputs and plain-English instructions, and it writes a structured result, such as a score, a category or a researched fact, into each row of a table, per [Clay](https://www.clay.com/claygent). It can search the web, use a find contacts and jobs tool and read documents you upload, per [Clay's Builder doc](https://university.clay.com/docs/claygent-builder). Account Agents are a second type that runs across a whole segment.

### Is Claygent free?

Partly. [Clay's pricing page](https://www.clay.com/pricing) lists Claygent on every plan, including Free, which has 100 data credits and 500 Actions a month. Each run uses 1 Action plus credits for the model, so 100 credits cover about 100 rows on a 1-credit model. Testing in Claygent Builder, up to 10 inputs at a time, [uses no credits](https://university.clay.com/docs/claygent-builder). Account Agents need Launch or higher.

### How much does one Claygent run cost?

One run uses 1 Action plus data credits. On fixed-price models, [Clay's AI pricing doc](https://university.clay.com/docs/ai-pricing) lists 0.5 to 3 credits per web research row. At Launch rates of $0.05 per credit and $0.004 per Action, that is about $0.03 to $0.15 a row, by our arithmetic. Reasoning models are variable: Clay shows an estimate first, then charges the actual model cost with no markup.

### Does Claygent find email addresses and phone numbers?

It can return contact details that appear on public pages, and [Clay's page](https://www.clay.com/claygent) lists contact info among the data it can fetch. Clay sells email and phone lookups separately, from 150+ partners billed in data credits, per [its pricing page](https://www.clay.com/pricing). Clay's Claygent docs describe no built-in email status, so validate before you send. For lookups with a status on every email, use a [person enrichment API](https://enrich.chat/api/person-enrichment/).

### What is the difference between Claygent and an Account Agent?

A general-purpose Claygent runs on one row in a table or workflow and keeps no memory between runs. An Account Agent runs across every account in an Audiences segment, keeps memory for each account, and can write fields back to your CRM or data warehouse after approval, per [Clay's docs](https://university.clay.com/docs/account-research-agents). It is in beta, bills variable credits plus 1 Action per record, and needs a connected CRM, warehouse or Gong source.

### What can I use instead of Claygent?

No tool copies Claygent one for one. For open web research, Claude or ChatGPT with web search can read pages and cite sources, but you write the loop over your rows. An automation tool such as [n8n](https://enrich.chat/blog/n8n-lead-enrichment/) can run an AI agent step for each row. For fixed contact fields, a data API is simpler. See our list of [Clay alternatives](https://enrich.chat/alternatives/clay/) for full platforms.

## Sources

1. [Claygent: AI agents for GTM](https://www.clay.com/claygent)
2. [How AI is priced](https://university.clay.com/docs/ai-pricing)
3. [Claygent Builder](https://university.clay.com/docs/claygent-builder)
4. [Clay pricing](https://www.clay.com/pricing)
5. [Account Research Agents](https://university.clay.com/docs/account-research-agents)
6. [Account Agents in Workflows](https://university.clay.com/docs/account-agents-in-workflows)
7. [Use AI](https://university.clay.com/docs/use-ai-integration-overview)
8. [AI Tokens](https://university.clay.com/docs/ai-tokens)
9. [Actions and Data Credits](https://university.clay.com/docs/actions-data-credits)
10. [Guide: Ways to save Clay credits](https://university.clay.com/docs/clay-credit-conservation)
11. [Clay (global agent)](https://university.clay.com/docs/global-agent)
12. [Credit spend limits FAQ](https://university.clay.com/docs/credit-spend-limits-faq)
13. [Perplexity integration overview](https://university.clay.com/docs/perplexity-integration-overview)
14. [Claygent Builder is live](https://community.clay.com/x/announcements/lrnxk56a8z9r/claygent-builder-is-live-build-test-and-deploy-gtm)
15. [Web search tool](https://platform.claude.com/docs/en/agents-and-tools/tool-use/web-search-tool)
16. [Web search](https://developers.openai.com/api/docs/guides/tools-web-search)
17. [AI Agent node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/)
18. [Building effective agents](https://www.anthropic.com/engineering/building-effective-agents)
19. [Why Language Models Hallucinate](https://arxiv.org/abs/2509.04664)
20. [Clay: AI-powered sales intelligence and go-to-market orchestration](https://www.zenml.io/llmops-database/ai-powered-sales-intelligence-and-go-to-market-orchestration-platform)

## Try this prompt

Add contacts to your research list

```text
Use www.enrich.chat to find the head of marketing at each company domain below and a work email for each. Show each email status, mark misses as not found, keep my research notes column as it is, and tell me the total credits_used: [paste domains and notes]
```

## Related

- [Clay pricing](https://enrich.chat/blog/clay-pricing/)
- [Clay alternatives (2026): enrichment without the table](https://enrich.chat/alternatives/clay/)
- [AI sales agents: what they do and what they need](https://enrich.chat/blog/ai-sales-agents/)