Demo

Priced by the coverage you take.

Streaming, bulk history, or both - on every tier. Talk to us for high-volume desks and training runs.

Access

$2,500/ month

For teams evaluating the data on one use case.

  • One coverage area
  • REST + streaming API
  • Standard latency
  • 30 days of history
  • Email support
Book a demo

Pro

RECOMMENDED
$9,000/ month

For desks and teams in production.

  • Multiple coverage areas
  • Low-latency streaming
  • Full point-in-time history
  • Urgency and quality values
  • Priority support, SLA
Book a demo

Enterprise

Custom

For high-volume desks and training runs.

  • Dedicated capacity
  • Custom sources & coverage
  • Direct delivery to your data plane
  • Bulk history exports
  • Dedicated support
Contact sales

Two axes, no seats.

Every tier is served by the same network. A record that reaches an evaluation account traveled the same path, carries the same provenance, and was evaluated by the same models as one reaching an enterprise account - we do not hold back quality and sell it back as an upgrade.

What changes across tiers is scope: how much of our coverage you take, how far back through point-in-time history you can reach, and what we commit to contractually on latency and support. Those are the two axes that actually cost us money to widen, so those are the two we price on.

There is no per-seat component. A three-person research pod and a forty-person desk pay the same for the same coverage, because charging by headcount would penalize you for putting more people on the data - which is the opposite of what we want. Volume beyond the enterprise band is negotiated as capacity, not as licenses.

What no tier takes away.

Streaming and REST through one interface

The live stream and point-in-time history are the same data behind one authentication model, so a research backtest and a production desk never diverge.

Post-quantum encrypted transport

Hybrid post-quantum key exchange on every hop, on every plan. Security is not a tier - a smaller client is not a less confidential one.

Full provenance on every record

Node, timestamps, source class, and signed lineage. The evidence a record carries does not depend on what you paid.

Urgency, authenticity, and data quality

The three values our models assign in flight are on every record, so you can set your own thresholds from day one.

Delivery from your nearest edge

Served from the point of presence closest to your systems wherever they run, with the serving node stamped on what arrives.

No per-seat charge

Put as many researchers, engineers, and models on it as you like. We price coverage, not headcount.

Before you ask sales.

Can I start narrow and expand later?
That is the intended path. Most engagements start on a single use case so you can measure the data against something you already have an opinion about, then widen coverage once it has earned it. Expanding is a change to your order, not a migration - the interface and the record shape do not change.
How is usage measured?
By the coverage you subscribe to and the volume you consume, not by API calls. We would rather you poll history freely and stream everything you can use than have your engineers optimize around our billing model.
What is the difference between standard and low-latency streaming?
Both are real time. Low-latency streaming adds a contractual commitment on the interval from event to delivery, priority on the delivery path, and the measurement reporting behind it - which matters when the position depends on being first rather than on being informed.
How much history is included?
Depth scales with the tier, from a recent window on the evaluation tier through to the full point-in-time archive on enterprise. History is always point-in-time rather than as-corrected, so a backtest sees what was actually knowable at the moment it was run.
Do you offer an evaluation period?
Yes. We provision a sandbox key against real coverage so you can test on live data rather than a sample file. The point of an evaluation is to see whether we are early on the events you care about, which a curated sample cannot demonstrate.
What does the enterprise tier add beyond volume?
Dedicated capacity, coverage built to your requirement rather than chosen from a catalog, delivery directly into your data plane, and named support with contractual response times. It is the tier for teams whose research program depends on the data being there.

Real-time data, at edge speed.

A live evaluation measures EdgeOrigin against your coverage requirements: decision-ready real-time data, delivery latency into your systems, and record-level provenance.