RouterGrowth

Find and enrich12 capabilities

Companies, the people in them, verified emails and buying signals

Research the market21 capabilities

Search, social networks, ad libraries, reviews and AI answers

Reach out and create43 capabilities

Sending domains, inboxes, LinkedIn and the creative that goes out

3,000+ tools behind 76 capabilities, one key, one prepaid balance All tools →Catalog →Free tools →

Find leads48 workflows

Lists built from hiring, funding, the tech stack and Google Maps

Run outbound37 workflows

Cold email, LinkedIn and follow-ups, from the first list to the reply

Watch the market43 workflows

SEO, AI answers, competitors' ads, brand mentions and ad creative

99 workflows with the prompt to paste, 18 guides, 11 skills your agent installs All workflows →Guides →Skills →

Pricing Docs Get started

Tools / Job

Data enrichment for your AI agent: turn a domain or a profile into a full record

Q: How do I enrich a list of companies with an AI agent?

Give it the domains. company.enrich returns firmographics for each, company.technologies the stack and company.funding the rounds, in one batch with a spending cap.

Q: Can it enrich people from LinkedIn?

Yes. person.enrich takes a public LinkedIn profile URL or a work email and returns the name, headline, location and complete role history.

RouterGrowth enriches companies and people through one MCP server: firmographics from a domain, a full professional profile from a LinkedIn URL or a work email, the technology a company runs and its funding history. The agent asks for the record and pays for the ones that exist.

6 tools live 5 providers from $0.002 a call MCP · REST · CLI

Ask your agent

Enrich these 300 domains with industry, headcount, location and funding.

Add to Claude Add to ChatGPT

Connect RouterGrowth once, then ask in plain words. New workspaces start with $1 of credit. Get a key or read the setup guide.

Data enrichment tools

What can your agent do for data enrichment?

Each row is one tool your agent can call. The price is the lowest a successful call costs at list price. The exact figure is quoted before every run.

Tool	What it returns	Providers	From
Company firmographicscompany.enrich	Firmographics for a company from its domain.	LeadMagicApifyApollo	$0.007per match
Person enrichmentperson.enrich	Full professional profile from a public LinkedIn profile URL or a work email: name, headline, about, location and the complete role history.	ApifyApollo	$0.007per match
Technology stack lookupcompany.technologies	Technology stack detected for a company.	DataForSEO	$0.021per match
Funding roundscompany.funding	Funding history for a company: rounds, amounts, dates, investors and the latest round. The database route also lists the government awards it has detected as events (a grant, a sole-source contract, an SBIR) with the news link.	LeadMagicApollo	$0.042per match
Company searchcompany.search	Companies matching a keyword, optionally filtered by location: name, website, industry, size, headquarters and description. A company database answers first; a live LinkedIn company search follows when it finds nothing.	ApifyApolloIcypeas	$0.002per search
People searchpeople.search	Build a people list from filters: titles, seniority, company headcount, location, industry keywords. Returns profiles with current role and company. The lead database answers first, from a fraction of a cent a person and without emails: find them with contact.find, or pin the route that returns a known company's people with their work email.	ApifyApolloIcypeas	$0.002per result

Every tool has a page with its input schema, its output fields and the price on each provider. Browse the whole catalog or see how plans lower every price.

In practice

What do you ask it?

You do not call tools by name. You describe the job, and the agent finds the tools, shows the price and runs them.

Enrich these 300 domains with industry, headcount, location and funding.

company.enrich company.funding

Which of these companies run HubSpot, and which run Salesforce?

company.technologies

For each LinkedIn URL in this sheet, give me the current role, the role history and the company size.

person.enrich company.enrich

Connect

How do you connect it?

One MCP server for Claude, ChatGPT, Claude Code, Codex and Cursor, or the same calls over the CLI and REST. The example runs company.enrich.

MCP server

claude mcp add --transport http routergrowth https://api.routergrowth.com/mcp

CLI

npm install -g routergrowth && routergrowth setup
routergrowth run -c company.enrich -i '{"domain": "stripe.com"}'

REST

curl -X POST https://api.routergrowth.com/v1/run \
  -H "Authorization: Bearer $ROUTERGROWTH_API_KEY" \
  -d '{"capability": "company.enrich", "input": {"domain": "stripe.com"}}'

In claude.ai and ChatGPT, add https://api.routergrowth.com/mcp as a connector and approve the workspace in the browser. Setup for every client.

Worth knowing

What should you know before you start?

One record, several sources

The router picks the provider for each record and falls through to the next when one has nothing.

Pay for what exists

Funding and technology lookups are charged only when data comes back.

No table to maintain

The agent enriches the rows in front of it and writes the result where you keep your data.

FAQ

Questions about data enrichment with an AI agent

What are data enrichment tools?

Tools that take a thin record, such as a domain or a profile URL, and return the rest: industry, size, location, role history, technology, funding. Here they are capabilities an agent calls one record at a time.

How do I enrich a list of companies with an AI agent?

Give it the domains. company.enrich returns firmographics for each, company.technologies the stack and company.funding the rounds, in one batch with a spending cap.

Can it enrich people from LinkedIn?

Yes. person.enrich takes a public LinkedIn profile URL or a work email and returns the name, headline, location and complete role history.

Is it a Clay alternative?

It does the enrichment calls a Clay table makes, at a per-call price and without the table. If you want a spreadsheet interface, keep one; if your agent is the interface, this is enough.