B2B data enrichment built for the platforms selling to everyone else's buyers.
B2B data enrichment is only as good as how often it refreshes. A record that's accurate the day it loads is stale in weeks, and most platforms find out when a customer complains. MixRank ships hourly-refreshed people, company, and technographic data through one data enrichment API, built for the sales and marketing platforms that need a wholesale data source behind their enrichment, AI SDR, and buying-signal features.
Representative of the production index, not a real customer.
One field in. The whole record out.
Type a work email. Watch it resolve into a full B2B record against the live index, field by field, each tagged with its source.
Every field arrives with its source. Nothing is invented. If we can't resolve it, the record says so. Run your own address and see what comes back.
- email✓jane@northwind.ioinput
- full_name✓Jane Ibrahimprofessional network
- title✓Chief Technology Officerprofessional network
- seniority✓C-suiteinferred
- company✓Northwind Roboticscompany graph
- company_size✓8,004 emp ▲ 10.8%company graph
- location✓San Francisco, USprofile
- tenure✓1.3 yr · current rolehistory
- profile✓@jane-ibrahimresolved
- web_tech✓113 on northwind.ioweb index
- influence✓62 / 100computed
- +239 more✓✓ filled250+ schema
Illustrative, resolved live from the production index, not a real customer.
Re-enrichment matters more than the first enrichment.
Here's what data SDRs need:
Get a wholesale data source, not a seat-based tool
We work as a back-end data provider. Your team builds its own product on top of the data, and your customers never know we're there. That's deliberate. We're not trying to be another tool your customers log into, and we're not going to bound you to whatever insights we decided to build on top of the data, because everyone derives those differently. Delivery is a raw feed, REST API, flat file, or straight into your warehouse. Some of the largest sales intelligence platforms on the market already run this way.
Catch a buying signal while it still matters
A buying signal is anything suggesting a company moved closer to a purchase decision. Funding news, a new open role, a technology swap, a leadership change. We surface these from three directions. Posts catch funding announcements and product launches first, though company posts run cleaner than person posts, which carry more day-to-day noise. Job postings are usually the earliest public sign of where a company is investing. And a technology change is a concrete event with a date attached, so you're working from what happened rather than what someone inferred.
Know the moment a contact changes jobs
A job change is a clean, timestamped event, and our hourly refresh catches it the same day. That does two jobs at once: it lets your customers reach a moved contact while it's still news, and it powers champion tracking, so when the one person who championed a deal quietly leaves, someone finds out before renewal instead of after.
Cached or live, per record
Cached enrichment reads from the continuously updated dataset. It's fast, and it's accurate as of the last refresh. Live enrichment triggers a fresh pull at the moment of request and guarantees the newest version. Most platforms run cached by default and force a live pull only past a set age or once a job-change signal fires. Both come from the same API at the same flat price, so your team sets the rule instead of buying its way into a faster tier.
How a detection happens.
What we do is easy to start and nearly impossible to scale. This is the part competitors don't show, because they buy it from someone else.
Index
$ indexer-117 fetch shopify.com
200 · 1.18 MB · 312 ms
queued → parse · dc-dallasOur own machines read the open web: sites, apps, filings, registries. Three petabytes under management, on hardware we own.
Detect every change, the moment it happens.
Profile URLs break and people move. Scroll one contact's record across a decade, every change fires the moment it happened.
Illustrative reel, a stand-in profile representative of the per-field history, not a real person or their employers.
Where this shows up in a real product.
- CRM Enrichment & Re-Enrichment. Lead, company, person, and email enrichment on the way in, plus ongoing re-enrichment so records stay accurate after the first load.
- AI Sales Development Rep (SDR) & Outbound. Feed post activity and profile signals into outreach generation, so messaging references real, current context.
- Re-Engagement & Champion Tracking. Get alerted the moment a tracked decision-maker changes jobs, before the account quietly goes cold.
- Buying Committee Mapping. Map decision-makers and champions at a target account, and keep that map current as people move.
- Territory & Account Research. Pull a full account and contact picture before a meeting: org structure, recent changes, current activity.
- Total Addressable Market (TAM) & Market Sizing. Build Total Addressable Market (TAM) estimates off real firmographic and headcount data.
- Technographic & Competitive Intelligence. See the tech stack and SDKs behind an account before a call, so outreach can lead with a real integration angle.
- Post Intelligence. Person and company posts ship inside people data, not as a seventh dataset, read for funding, launches, and role-change signal.
Build on a data source that refreshes as fast as your customers need it to.
Bring your enrichment stack, a sample record, or a workflow you're trying to fix, and we'll show you what's actually current.
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