AI agents · In the app · MCP & REST
Describe what you need in plain words. Use the agents built into ListPlus, connect Claude or ChatGPT, or both.
No account needed.
ListPlus agents or your own AI.Every match comes with its source.
“We’re looking at alternatives for our enrichment workflow.”LinkedIn comment · matching signal
Your assistant, right in the list.Or your own agent via MCP or REST.
Triggers with AI in the steps.Also on records your agent writes.
Built-in agents or your own AI. You decide what they can change.
Try a sample list01 / Find new leads
Say who you’re looking for. The ListPlus agent researches on its own, even with your window closed. Or hand the same brief to Claude, ChatGPT or your own agent.
Choose a role, a market or a signal such as a funding announcement. The agent uses the sources relevant to that task.
Every match shows its source and why it fits. Open the example sources to see what that looks like.
Find founders of German fintechs that raised their first funding round in the last 90 days.
| Company | Founder | Why they match |
|---|---|---|
| Nordlicht PayBerlin · Fintech | Ava SteinCo-founder & CEO | First round · 3 weeks agoView example source: Nordlicht PayCompany announcement · 3 weeks ago Berlin-based fintech Nordlicht Pay announces its first funding round. Co-founder and CEO Ava Stein says the investment will support its payments platform. |
| Forma FinanceHamburg · Fintech | Noah WolfFounder & CEO | First round · 5 weeks agoView example source: Forma FinanceCompany announcement · 5 weeks ago Forma Finance, a fintech based in Hamburg and founded by Noah Wolf, has closed its first external funding round to expand its finance software. |
| Helio LedgerMunich · Fintech | Ella BrandtCo-founder | First round · 8 weeks agoView example source: Helio LedgerCompany announcement · 8 weeks ago Munich fintech Helio Ledger has secured its first funding round. Co-founder Ella Brandt will lead the rollout of its accounting platform. |
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02 / Clean up your lists
The checks show what’s wrong. Tell the assistant in your list what to do, or let your own agent request the fix.
Missing job titles, duplicates, inconsistent company names: you get specific findings and the contacts behind them.
Correct values, merge duplicates or enrich missing details with the tools you allow.
Fill only empty fields to keep existing values. Details that cannot be found stay visible for review.
Check this list and fill in the missing job titles.
| Contact | Job title before | Job title after |
|---|---|---|
| Maya ChenNorthstar Labs | Job title beforeMissing | Job title after Head of OperationsAdded by enrichment |
| Leo MartinForma Studio | Job title beforeSales Director | Job title after Sales DirectorExisting value kept |
| Sam RiveraArbor Cloud | Job title beforeMissing | Job title after MissingNot found · review |
The briefing explicitly tells your agent never to invent an email address. ListPlus gives it lookup and verification tools to find and check real data.
Enrichment looks up the person with data providers.
In research, verify_email checks whether a found address is deliverable.
No reliable result? The instruction is to leave the field empty.
You choose which tools the agent may use. Finding an address and verifying it are separate steps.
03 / Automate the next step
Set a rule once. Every new or changed record follows it, whether it came from an agent, an import or a webhook.
When a record meets your conditions, they enrich it, set its status or hand it to a pipeline.
Records with a missing field or on your customer list wait for review. Customer lists are part of Pro.
Email drafts get a personal line for each contact. You read every draft before it goes out.
Illustrative run · New from your agentMaya Chen, Head of RevOps at Northstar
04 / Connectors & control
The connector works with your records. The AI gets the values needed for the task. To standardize country names, for example, the model receives the distinct country values. Names, emails and the rest of each record stay out of that request.
In the list assistant: “Standardize country names.”
Names, emails and phone numbers are not sent. The mapping from values to record IDs (ar_id) stays with the connector.
rows in your list
distinct values to standardize
rows updated after your review
3,000 rows were already consistent.
The connector uses record IDs to update every matching row.Find rows, select decision-makers, standardize values or fill a column. The assistant turns your instruction into a command. The connector executes it on the list.
The model evaluates the relevant values, not every complete record. Repeated values share one answer. This reduces input tokens and helps keep large lists economical to process. The saving depends on the task, values and model.
05 / Tools & API
ListPlus builds a briefing from your list and its connection settings: fields, permitted actions, example requests, costs and limits. Your agent can read how to work with this specific list.
Via REST, it reads the connection URL with GET. Via MCP, it calls get_schema. The briefing also identifies calculated columns, so your agent leaves scoring to the list.
get_schemaREST GET /d/{token}GET /d/{token}schema.columnsschema.computedColumnsactionsrulesexamplesquerycountfindcolumn_summarycredit_balanceadd_recordsup to 1,000 per callupdatedry_run, only_emptyset_tagsset_statussend_to_pipelineignore / restorecreate_columnsrun_checksscore 0–10, 0 crfix_checkclean_values0 crdedup_mergederiveAI column fillingenrichcompany, contact, person lookupweb_search *search the webnews_search *recent coverage and signalsgoogle_searchweb, news, places, scholarwebsite_scrapeany public page to Markdownhackernews_searchjob_search *open roles as a buying signalfind_linkedin *name + company to profilecompany_lookupdomain to company profileverify_email *per checklinkedin_post_search *per 50 postspost_engagers *who commented, per postdatabase_search *per 25 profilestwitter_searchper 100 tweetslinkedin_people_search *former staff, + 0.5 cr per profileenrich_hit *per research result, up toreddit_searchper 25 results* Offered in AI Research → Your AI. Available tools always depend on the connection’s permissions. enrich_hit requires the research to send its results to a list.
c_level_executivedecision_makercorporate_emaildisposable_emailemail_typofuzzy_matchneeds_company_standardizationphone_with_country_codeRates shown are ListPlus tool credits. Email and phone lookups are billed when found; research tools follow the rates above. Model usage is separate. Each call is logged with its action, rows, credits and duration. Workspace policies can disable providers or AI across all connections.
06 / Get connected
Start researching or work on a list you already have. Each connection gives your agent the briefing and tools for that job.
Describe your target and choose “Your AI”. Select the tools, then generate a research URL for your agent.
Your agent reads the mission, uses the allowed tools and reports sources, progress and results back to ListPlus.
Open AI ResearchWant ListPlus to run the search? Choose “ListPlus” and set a search goal, model and total credit limit.
Open “Agents & MCP” and create or select an access. Its Overview, Permissions and Executions tabs keep the connection in one place.
Give your agent the REST or MCP connection. It reads the list briefing and works within the access you grant.
Open your listsThe list’s scoring columns and triggers keep working when the agent adds or changes data.
Every connection is an MCP server. Claude, ChatGPT or any MCP client discovers the permitted ListPlus actions as tools and calls them.
One GET returns the schema and available actions. Then POST actions to the connection endpoint. Anything that speaks HTTP works.
ListPlus research, enrichment and verification follow their credit rules. Your external agent or hosting provider may charge separately.
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.
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.
Yes. Restrict writable columns and enable fill-only-empty updates. The update action also has a dry-run mode to preview changes first.
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.
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.
Reading, the standard checks and their cleaning cost no credits. E-mail and phone lookups are charged only when found: an e-mail 2 to 6 credits per person, e-mail plus phone 42 when a phone is found. Research tools are billed per call: Google, Hacker News, job search and website reading are free, company lookup 0.25, LinkedIn posts 0.5, database search 2, X 3, Reddit 10 credits. Funding data is an enrichment in the list, 1 credit per company. 1 credit is $0.035 with Pro, $0.06 on Basic.
Contact research, enrichment and the workflows that follow, on your lists, under your rules.