By Ether DataRequest data sample
Ether Data · The new way to target

AI agents are the new media buyers. We give them the World Context

Agentic advertising runs on real-world context: what every place is like and who is around, hour by hour. We feed it to your agents so they find your next customers, with no cookies and no device IDs.

Talk to us about 168 VE

This is lower Manhattan, hour by hour: who is around and what they are doing. The context your agents use to decide where your next customers are.

A weekday office cell
When the workforce is physically present, hour by hour.
168 hours · one cell · one week
The shift

Agents are buying your media now. They can only target what they understand.

Agentic advertising is here

Agents now decide who to reach, in real time, with no cookies and no device IDs. The IAB Tech Lab calls it agentic advertising. An agent is only as good as what it knows about the real world, and the real world is exactly what we provide.

ONE CELL · 168 HOURS OF THE WEEK
THU 12:00 · 93% OF PEAK
MON
TUE
WED
THU
FRI
SAT
SUN
Decided by
Agents, in real time
Identifiers
No cookies, no device IDs
Called
Agentic advertising
IAB Tech Lab · Agentic Audiences
How 168 VE works

Three steps, no black box

The same idea the rest of the industry is adopting for content and audiences, applied to the real world. What we learn is the cohorts of buyers inside every place and hour.

Step 01

Read every cohort

Every place at every hour gets read for the cohort that is there: who they are and how they behave, from years of history out to a forward forecast.

Step 02

Cohorts that behave alike

168 VE learns the complex cohorts inside every context, the full mix of who is there and how they behave. The cohorts that act like your buyers sit close together, even in cities it was never calibrated on.

Step 03

Line it up with your world

The Master Embeddings Model brings the data you already own into the same space: your first-party audiences, your creative, the IAB taxonomy. Your cohorts and ours end up speaking one language, ready for any screen or bid.

Turn conversions into reach

Bring your conversions.
We find the next ones

Send us a file of what already worked: sales, leads, or store visits, each with a time and a place. We learn the cohort behind your best customers, find the cohorts that behave like them across the country, and hand back the places and hours to reach them. No device IDs, no personal data.

COHORT MATCH
BY HOUR OF WEEK
PEAK MATCH
WEAKSTRONG
You

You send what converted

A simple file: each sale, lead, or visit with when and where it happened. Nothing personal leaves your side.

168

We place it in context

168 VE turns each conversion into context, and the Master Embeddings Model lines it up against the rest of the country to learn the cohort your best buyers share.

You

You get the next ones

The cohorts that behave like your best customers, and the places and hours to reach them, ranked and ready to run. Expand into new markets and keep the lead pipeline full at a lower cost per action.

Then put them to work

The same audiences, activated across every screen.

Times Square · Tuesday
At 2pm it is a finance and office crowd. By 11pm it is hospitality and tourism.

168 tells you which, by sector, by hour, with no device IDs. Buy the right screens at the right hours, and prove the audience from the same table.

DOOH & OOH
Buy the screens your lookalikes pass, by hour and by sector. Audience verification without device IDs.
Programmatic & pDOOH
A pre-bid context signal that holds in markets where panels have gone thin.
Publisher yield
Context for non-addressable inventory, mapped to the taxonomy buyers already use.
Performance
Feed 168 VE to your bidder so it optimizes toward sales, leads, and cost per action.
Proof

Built on one city. Holds up in cities it never saw

Chicago
−0.7%
Taxi gap. No local data used.
San Francisco
−3.8%
Bikeshare gap. No local data used.
Held-out region
0.78
R² on nighttime lights, with no local data.
Dependencies
0
Device IDs, panels, or location licenses required.

The priors were built on public New York data, then tested against two cities they were never calibrated on. Five independent public sources with no shared lineage, so the validation stays independent. The dataset is built without device data, which means it strengthens as privacy tightens instead of breaking.

Read the validation report
Our marketplace

Everything we sell, on one grid

Every layer we sell sits on the same H3 cell, so any two pieces join without a spatial operation. Prices are on the page, and the free layers need no signup.

Data

19 layers

The hourly context for any US metro, and the priors underneath it. Economic gravity, ambient population, and sixteen more layers. 168 Foundation is free forever.

Knowledge base

Open

The geographic and temporal interoperability KBs. How the grid converts to any boundary and any clock, documented and tested. Open links, nothing to request.

Services

Free, gated

The Interoperability MCP. Your agent runs the H3 and hour-of-week conversions itself, against the same tested library the knowledge bases document.

The new way to target

Give your agents the World Context