No result, no credit.
A credit only deducts when we actually return a verified email, phone, or signal.
Includes
- 1000 credits, one-time
- Unlimited radars
- Signal Agent
- Discover (B2B + Local)
5,000 credits / month
For founders and small teams running a focused outbound motion.
Start for freeIncludes
- 5,000 credits / month
- Unlimited radars
- Signal Agent
- Discover (B2B + Local)
- API access
25,000 credits / month
For revenue teams running multi-radar outbound at scale.
Start for freeIncludes
- 25,000 credits / month
- Unlimited radars
- Signal Agent
- Discover (B2B + Local)
- API access
- Priority support
Higher volumes or a custom setup? Let's talk.
Signals
- Social engagementInfluencer, competitor, and keyword tracking. Per post or comment.0.25 credits
- Hiring signal checkPer company.1 credit
- Funding signal checkPer company.1 credit
- News event checkPer company.1 credit
- Tech stack changeReal-time install or churn events as companies adopt or drop tools. For competitive monitoring.20 credits
Enrichment
- Email enrichmentVerified email via waterfall. No credit if no verified match is returned.1 credit
- Tech stack lookupSnapshot of the technologies a company currently uses.2 credits
- Phone enrichmentMobile number via waterfall. Pay-per-success, any region.10 credits
Discover
- Enrich LinkedIn profileA person matched from your ICP search: name, title, role, profile activity. Charged when a person is returned.0.25 credits
- Local businessName, phone, address, rating, owner where available.0.25 credits
Where the data comes from
Public data, named sources.
Every credit you spend pulls from a source you already know. No scraped private accounts. No mystery providers.
Signal detection
Public profile, job, funding, and post activity.
LinkedInIndeedGlassdoorCrunchbaseXThreadsTechCrunchWorkdayGreenhouseLocal business data
Name, phone, address, rating, owner where listed publicly.
Google MapsTech stack tracking
Refreshed continuously.
We monitor the open web on a continuous cadence: DNS record updates, traffic-pattern shifts, fresh certificate transparency entries, subprocessor list edits, and live site changes. Machine learning then ties those technical fingerprints to the specific companies behind each move. Signals refresh as the web does, not on a quarterly review or case-study cycle.
