[ DATALANE RESEARCH AGENTS ]

Find reliable local GTM signals to power outbound and post-sale

Research Agents finds verifiable signals that aren’t already in DataLane’s core products. They’re built on top of DataLane Foundations, which handles the busywork of operationalizing those signals.
[ Problem ]

No other platform is optimized for local. They just create more work

RevOps teams pay the tax, and spend their time duct-taping data sources together.
Pain
[01]
Other platforms over-rely on LinkedIn
Data providers that rely on LinkedIn come back empty for local businesses.
Pain
[02]
Other platforms create dupes
Half of RevOps' day goes to cleaning up the mess.
Pain
[03]
Other platforms leave no audit trail
A value lands in a table and no one can confirm whether it's real or hallucinated.

Research Agents reliably source the local GTM attributes you need to score, segment, and action your TAM

[ WHY YOU CAN SCORE ON THESE SIGNALS ]
Only shares verified info, fewer hallucinations

No source, no signal. If the agent can't back an answer up, it returns "indeterminate" instead of guessing. A confident hallucination undermines everything built on top.


Every signal carries its reasoning, its sources, and the exact quotes it rests on so your team can verify.

[ BUILT ON FOUNDATIONS ]
The busywork is already handled

Research Agents run on DataLane Foundations, which handles the mess of local data:

Dedupe — identify any duplicate accounts.
Hierarchies — franchise, multi-location, and PE structures resolved.
Entity resolution — every signal lands on the right account.
Controlled CRM push — field mappings, matching rules, overwrite protection.

Solve the data foundation, and everything else works. Research Agents are what it unlocks — signals your scoring, territories, and assignment can finally trust.

Learn more about Foundations
[ video ]

Learn more about Research Agents

[ FAQ ]

Questions you might have

What can't Research Agents find?

Research Agents rely on a public sources and verified info. If they cannot find a public answer, in those sources, it will return an empty answer with reasoning. Some questions Research Agents would struggle with include exact revenue or payroll software. There are no public sources to answer these questions at this time.

Can I run agents on a daily basis?

In theory? Yes. But in practice, we don’t recommend it. Signal volume rarely refreshes on a daily basis, but you will burn a lot of credits re-running your entire account list through Research Agents. We recommend a monthly cadence, or weekly on a very defined, filtered account list.

Where do the signals come from?

We verify through three core sources. A website (with a high weighting for the company’s website), social media (Instagram, Facebook), and review sites (Yelp, Google Maps). Those are the three sources our engineers found surfaced the highest quality signals after rigorous tests.

Do we need DataLane Foundations to use Research Agents?

Yes! Using Research Agents starts with being able to filter down a set of accounts that you can run Research Agents on. Additionally, once you find the signal, Foundations allows you to cleanly push to your CRM without creating more dupes or causing a destructive sync.

How much does this cost?

We’re currently charging this at cost on a credit based pricing model. Research Agents will transparently show how many credits you use for a given question. However, you will need to buy Foundations and our TAM product first. Reach out to our team to get full pricing for those SKUs.

Operationalize messy local business data into clean foundations