The contact data layer for your AI agent.
Enter your website or connect Claude, ChatGPT, and your own agents through MCP, API, or CLI. Argorant finds matching buyers across 565.8 million contacts and checks work emails before download.
Teams building outbound on Argorant
565.8M contacts · 184 countries · work emails checked at export
Claude
ChatGPT
HubSpot
Pipedrive
ZapierCount a market. Check it. Send it.
Describe who you sell to, watch the number move, and export contacts that were checked on the way out — straight into the tool you already use.
Say who you sell to. See how many there are.
Plain English, no taxonomy to learn. The count moves while you narrow it, and counting never costs a credit.
A row you cannot use never reaches your bill.
Every mailbox is checked against the receiving server the moment you export. Anything unconfirmed is filtered out and costs nothing.
It arrives in the tool you already use.
Push straight into your CRM or sequencer, or let an agent pull it over MCP. The checks happen before the row leaves us.
Your agent can work this database itself.
Claude, ChatGPT or your own runtime searches, counts and exports over MCP — with the same checks and the same prices as a person.
Revenue teams that stopped tolerating bounces.
Or have us run the whole thing.
Same data, same checks, our hands: we map your market, build the sending setup, write the outreach and run it. You get the replies and the meetings, not another tool to learn.
The four that actually decide it.
Not the feature list. What you sign, and what it costs when the data is wrong.
Mailboxes checked, and the number moved while you read this line.
Straight from the verification pipeline, not a figure we typed in once.
Start with a 7-day trial. Scale when it works.
Full workspace from day one - search, verify at export, and pay only for deliverable contacts. Upgrade or cancel anytime.
Need Argorant’s data inside your product? Bulk delivery, redistribution licensing, DPA and provenance documentation.
Argorant for PlatformsFrequently Asked
Questions
Learn about verified B2B contact data and how Argorant helps your team find the right buyers.
Still have questions? Talk to us
From the blog
A practical walkthrough of agent-driven list building: connect Claude to Argorant over MCP, scope a list with free counts and previews, then reveal and export only what survives scrutiny.
A field guide to list definition: why industry filters lie, why seniority is a pattern set rather than a dropdown, how to size a list backward from sending capacity, and the preview-first workflow that catches bad filters before you pay for them.
B2B contact data decays the moment it's collected. Here's why the timing of verification matters more than the method, what an SMTP probe actually proves, and how pay-per-valid pricing changes the buyer's math.
Stop paying enterprise prices
for data that bounces.
565.8M contacts, with work emails checked before export. Free to start — no annual contract.
What verified B2B data means — and how export-time verification works
Most B2B contact databases describe themselves as “verified.” The word usually means one of three very different things. Sometimes it means an email address was syntactically plausible when it was added. Sometimes it means a pattern was inferred from a company’s known format — first.last@company.com — and labeled “high confidence” without ever being tested. And occasionally it means the address was actually checked against the receiving mail server at some point in the past. The difference matters, because the only verdict your sequencer cares about is whether the mailbox accepts mail today.
Email data decays fast. People change jobs, companies migrate mail systems, inboxes get deactivated, and security gateways change how they answer. A list verified six months ago is not a verified list; it is a historical record. That decay is why teams that buy “verified” data still see double-digit bounce rates — and why bounce rates, not database size, are what actually break cold-email deliverability. Mailbox providers watch your bounce behavior, and a few bad sends can sink an entire domain’s reputation.
Argorant’s answer is to move verification to the only moment where it can be honest: the export. When you download a list, every email in it is checked live against the recipient’s mail server with an SMTP probe — a conversation that asks whether the mailbox exists without sending a message. Addresses that fail are filtered out of your file and cost zero credits. Catch-all servers — domains that accept everything and therefore can’t give a definitive answer — are flagged separately, and you decide at export time whether to include them.
That mechanism is also what makes pay-per-valid pricing possible. Because verification happens at delivery, we can charge only for rows that pass — instead of selling you a static database and letting the decay be your problem. It changes the economics of list building: the meaningful cost of a data provider is never the sticker price, it’s the cost per contact you can actually reach.
The same verification engine is exposed to software, not just humans. A REST API, an MCP server, and a CLI give AI agents and scripts governed access to search, count, and export — with masked previews, plan-scoped rate limits, and credit metering, so an agent can build a verified list overnight without ever overrunning your budget. If you want the full methodology — probe behavior, catch-all handling, verify-at-export, and what “valid” means precisely — it’s documented on how we verify, and the broader playbooks live in our guides.
