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A company that has just raised money has fresh budget and pressure to grow, which makes a funding announcement one of the clearest buying signals in B2B sales. This workflow sets up a signal agent that delivers newly funded companies into a list, finds the leaders you sell to at each one, adds their work emails and enrolls them in a dynamic campaign. A daily job keeps it running as new rounds are announced. The agent delivers companies, not people, so this is also the full pattern for any company signal: take the domains, then search for the people who work there.

Before you start

Step by step

1

Find the exact values the agent matches on

Industries must be exact strings, so resolve them first:
Round types come from a fixed list: pre_seed, seed, series_a, series_b, series_c and so on through series_j, plus private_equity, debt_financing, grant and others listed in the API reference. Countries are full English names such as "United Kingdom", and headcount uses exact bands such as 11-50 and 51-200. A value outside these lists is still accepted with 201, and the agent then quietly finds nothing. See Finding accepted values.
2

Create and start the funding agent

At least one of industries, companyCountries or companyHeadcount is required, and each takes several values. start: true creates the agent and starts it in one call, which also reports any configuration problem straight away. To review a draft first, leave start out and activate it later, as in Job change outreach.
3

Find the agent's company list

GET /business/agents returns the agent’s results list:
contactsFound counts the companies delivered so far.
4

Read the funded companies' domains

Each call reads up to 1,000 rows of the list, and total is how many company rows it has. Once the list grows past 1,000, page through it with start (1, 1001, 2001 and so on). The agent keeps adding companies, so keep a record of the domains you have already searched and only search the new ones each time. GET /business/lists/{listId}/rows returns each company’s name, industry, headcount and country if you want to filter further. The agent records the company itself; the round, amount and investors are not written to the list.
5

Find the people you sell to at those companies

Pass the domains as job_company_website, up to 1,000 per search, with the roles and seniority you sell to. Preview the count first:
Then save them with work emails into one list that every run appends to:
Poll GET /business/jobs/{jobId} with the jobId from the 202 until status is completed, then read metrics on GET /business/lists/{listId}. Very new or very small companies may not be in the people database yet. A Deep Research run can find their leaders instead.
6

Point a dynamic campaign at the people list

Do this once, after the first save has filled the list:
Wait for initialization, preview and approve as in steps 7 to 9 of Build an AI outbound campaign from a prompt. The agent records the company, not the details of the round. To name the round and lead investor in the email, write that line with a smart column and merge it in with a column token. Add each day’s people in batches, as described in Personalize every email with AI research, so nobody is enrolled before their line exists.

Run it every day

The agent delivers on its own schedule. Once a day, repeat steps 4 and 5 for domains you have not searched yet. Saving with the same listName appends to the people list, and the dynamic campaign enrolls the new contacts within about 30 minutes, up to 200 at a time.

What it costs

Troubleshooting

Run the whole workflow

Do it from Claude

With the Fuse MCP server connected:
Set up a signal agent for software companies in the US and UK with 11 to 200 employees that announce a Series A or Series B. Then find the finance and operations leaders at the companies it has delivered so far, save them with work emails to “Funded - buying committee”, and draft an AI campaign on that list that enrolls new people automatically. Don’t launch it.
The assistant sets up the signal agent and reads the companies it has delivered, then searches for the people, saves them and drafts the campaign. Creating a campaign never launches it.

Create an agent

Every agent kind and its configuration fields.

Build a list from search

People search filters and the accepted vocabularies.

Job change outreach

The same always-on pattern with an agent that delivers people.

Website visitor outreach

The same domain-to-people step, driven by who visits your site.