Research sources, enrichment, quality checks and your lists, exposed to your AI through one connection you control. Your agent plans the work. ListPlus supplies the contact data tools and a place to deliver.
Find contacts with missing job titles. Enrich those titles without overwriting existing values, then run the check again.
InspectEnrichRecheck
Example instruction · Set access and update rules in the connection.
The platform behind the workflow
Research, enrichment and checks. Connected to your lists.
Your agent plans the research. ListPlus supplies the contact-data tools and the lists it works with: research sources, enrichment, quality checks and connections to the next step.
Your AI agent
Understands the task and chooses the next action
MCP / REST→
ListPlus connection
Selected data
Available tools
Permitted updates
↔
Your lists & workflows
Research & lookup
100+ quality checks
Enrichment & verification
Lists & connected workflows
Connection concept · Data and tools depend on the access you configure.
01
Discover what’s available
One GET on the connection returns columns, types, allowed actions, filter conditions and limits. The agent works with the real structure, no documentation needed.
02
Target the records that matter
Checks return the affected record IDs. Your agent uses them to request a specific fix or enrichment instead of touching the whole list.
03
Deliver into a defined workflow
Choose the destination list, its requirements and the next action. Agents work toward the same handoff instead of producing a separate report.
What the connection offers
Real actions. Real tools. Real limits.
Everything below is what the endpoint exposes today. REST at listplus.ai/d/{token}, the same connection as an MCP server at listplus.ai/mcp/{token}.
1 credit is €0.03. Enrichment is billed only when data is found; research tools per call. Every call is logged with action, rows, credits and duration.
Start with the audience you have in mind. Your agent chooses relevant sources, investigates companies and people, and uses ListPlus to enrich and check the candidates.
Example research brief
“Find the founders of German fintech startups that announced their first funding round in the last three months.”
01
Turn the brief into criteria
Sector, country, round type and time window. The agent knows what counts as a match before it starts searching.
02
Research companies and people
Find candidates and compare their roles, location and company details with your criteria. Keep the supporting context.
03
Prepare the qualified contacts
Enrich the fields your target list needs and run the relevant checks before the handoff.
ListPlusIdentify people · Enrich details · Verify emails
↓Candidates ready for your qualification rules
Illustrative research paths. Agents choose relevant sources according to their tools and access.
The same brief, step by stepSeed-stage founders → contacts ready for outreach+
Five calls, each one an existing action of the connection. Free steps first, paid enrichment only for the candidates that qualify.
01
Find the signal
Search news for seed and Series A announcements in the sector and time window.
google_search · news · free
02
Confirm the company
Domain, industry and size; round, date and investors. Companies outside the sector or past their first round drop out.
company_lookup 0.25 cr · crunchbase 1 cr
03
Find the founder
Search for founder or CEO plus company name to get the LinkedIn profile.
linkedin_search · free
04
Enrich the contact
Business email and phone, charged only when found.
enrich · 2–6 cr on a hit
05
Check and deliver
Run the list’s checks, then move the contacts that pass into the outreach sublist.
run_checks · set_sublists
A funding announcement is a research signal, not proof of buying intent. Your qualification rules decide.
Define the criteria and the destination before research begins: roles, company criteria, required fields and handoff rules.
02 · Qualify & deliver
Make quality part of the handoff.
Define what belongs in your target list. Use the same checks and enrichment tools your team uses to qualify research results before they enter the next workflow.
Set the entry requirements
Choose the criteria, essential contact fields and checks that a candidate must pass.
Resolve what can be improved
Clean inconsistent values and enrich useful candidates with missing details. Keep unresolved records in the working set.
Hand off the contacts that qualify
Move passing contacts into the intended list or segment. Connect that destination to the next CRM or sequencer step.
Actual product · Checks available to people and agentsView larger ↗
Check→ Enrich→ Check again
A defined handoff · Workflow concept
Research candidates
Your quality rules
Qualified target list
CRM / sequencer
↳Not passed: enrich or review
Configure the gate and destination for the workflow. Records that do not qualify stay out of the downstream handoff.
Your data, your rules
Give each task the access it needs.
Set the working boundaries in the connection: which data is visible, which tools are available and which updates are permitted. The prompt describes the task; these settings define its access.
A focused example
Normalize country names.
For this task, expose country values and record IDs. Restrict writes to the country field and use the returned mapping to update the matching records.
US/USA/United States↓United States
Example working scope
Country values + record IDs
Permitted change
Country field only
Field-scope illustration. Other tasks may need names, emails or other contact details.
Visible data
Choose the list or sublists and hide columns that the task does not need.
Available tools
Allow the relevant checks, research actions and enrichment types.
Permitted updates
Restrict writable columns. Enable fill-only-empty updates when existing values should be kept.
Operating limits
Requests per minute, row caps, enrichment batch size and an expiry date for the connection.
Any MCP client, such as Claude or ChatGPT, or any agent that can make HTTP requests. The connection determines which lists, data and actions are available. If you prefer to work in the app, ListPlus has built-in audience research.
Can an agent work without reading every contact field?
Yes. Hide columns and narrow the records available to the connection. Checks return record IDs, so operations target only the relevant records. Configure that scope explicitly; a prompt alone does not create it.
Can I keep existing values when enriching?
Yes. Restrict writable columns and enable fill-only-empty updates. The update action also has a dry-run mode to preview changes first.
Does ListPlus keep my external agent running?
No. Your agent’s runtime and hosting determine when it runs. The ListPlus connection provides data and tools; it does not host the agent or schedule its work.
Does a found contact automatically count as verified?
No. A found value, an email-verification result and a record meeting your list’s requirements are different things. Have the agent request the relevant checks and review unresolved results before using the contacts.
What does agent usage cost?
Reading, checks and cleaning are free. Enrichment costs credits only when data is found, 2 to 6 credits per person. Research tools are billed per call: Google, Hacker News and website reading are free, company lookup 0.25, Crunchbase 1, X 3, Reddit 6 credits. 1 credit is €0.03.
Your agent’s next task
Send your agents out.Give them a place to deliver.
Contact research, enrichment and the workflows that follow, on your lists, under your rules.
