What This Page Is About
Verified business contact data, not generic lead fluff
The job is not to produce more rows. The job is to produce contact data you can actually use.
That means:
- verified work emails,
- direct dials or mobile numbers when available,
- clear provenance through the workflow,
- and a clean handoff into the next system.
If a row cannot be resolved safely, Deepline should return null and move on. That is a feature, not a flaw.
How It Works
One workflow from input to sequencer-ready output
Primitives
What the feature actually includes
| Attribute | Value | Detail |
|---|---|---|
| Primary outputs | Work email, phone, LinkedIn, company context | Phone coverage depends on provider and region |
| Execution style | Waterfall + validation | Stops on the first valid result instead of spraying providers |
| Workflow surfaces | CLI, API, coding agents | Built for Claude Code, Codex, and other terminal-first agents |
| Downstream systems | Instantly, Lemlist, Smartlead, HeyReach | Route qualified contacts after validation |
| Provider model | BYOK or managed credits | Use your own provider accounts or managed execution |
| Failure behavior | Null instead of fabricated data | A miss is reported as a miss |
Use Cases
Where teams use this
Outbound prospecting
Start with accounts or target personas. Resolve verified work emails first. Add phone numbers when the motion justifies it. Then push only the qualified rows into a sequencer.
CRM repair
Re-verify stale emails, recover missing work data, and block dead addresses before they hurt sender reputation.
Agent-led research
Combine web signals, company context, and contact resolution in the same environment instead of exporting data between tools.
Compliance
The compliance posture is operational, not hand-wavy
Deepline is built around auditable steps:
- use provider APIs where possible,
- use purpose-built actors for surfaces like LinkedIn,
- keep validation in the workflow,
- and avoid claiming a contact exists when no provider can resolve it.
This does not remove the need for legal review, consent policies, or regional compliance decisions. It does mean the system behaves like a professional data workflow instead of a black-box growth hack.
One subtle but important product choice: Deepline treats LinkedIn scraping and public-site crawling as different problems. That is the right tradeoff for accuracy, reliability, and operator clarity.
CLI Example
A simple way to think about the workflow
deepline enrich --input accounts.csv --output contacts.csv \
--waterfall \
--providers apollo,leadmagic,prospeo
The exact play depends on your input shape, but the principle stays the same: resolve the best business contact, validate it, and only then move the row forward.
FAQ
Frequently asked questions
What inputs does Deepline need to find work emails?+
The strongest inputs are name plus company plus domain. Deepline also supports workflows that start from LinkedIn URLs, company plus role, or existing email addresses for reverse enrichment.
Can Deepline find phone numbers too?+
Yes. Deepline supports phone lookup workflows where provider coverage allows it. Phone coverage is usually lower and more region-sensitive than email coverage, so the workflow should treat phone as an additional field, not a guaranteed output.
How does Deepline reduce bad contact data?+
By validating results inside the workflow, stopping waterfalls on the first valid hit, and returning null when no safe result exists. Deepline does not invent data to make the row look complete.
Is this compliant for GTM teams?+
Deepline is designed around provider APIs, actor-based integrations, and explicit workflow steps rather than UI-only hacks. Teams still need to respect local laws, consent requirements, and provider terms for their own use case, but the product is built for auditable execution rather than black-box scraping magic.
Why not just buy one all-in-one contact database?+
Because no single provider wins everywhere. Work emails, mobile numbers, and firmographic context often come from different sources. Waterfall enrichment increases the chance of getting a valid business contact without locking you to one vendor's blind spots.
Related
Keep reading
Related
Resolve contact data inside one workflow
Find, validate, enrich, and route work emails and phone numbers without breaking the agent flow.