For platforms & enterprise
AI visibility data for platforms and enterprise
Platforms embed Nostimates as the data layer behind their own AI visibility feature. You get high-volume credit pricing, per-tenant project isolation, a stable schema with versioned parsers, and no obligation to name us anywhere in your product.
Four jobs this actually does
Ship an AI visibility tab without a scraping team
Bot detection, residential egress, account health and parser drift are a permanent operating cost. Buying that layer is almost always cheaper than staffing it.
The economics of scraping →Keep your schema stable while engines change
Engines change markup constantly. Our parsers are versioned and monitored with canary prompts, so a layout change is our incident, not your outage.
How canaries work →Isolate tenants cleanly
One project per tenant, scoped keys, usage rolled up per project. Nothing crosses between them, and billing reconciles to the same boundaries your product already uses.
Projects and keys →Price it predictably
Credits map to collections, so your unit economics are arithmetic rather than a forecast — with the gated engines and deeper sampling costing more per collection. Volume commitments move the rate.
Credit pricing →Build versus buy, honestly
Building one engine is a weekend. Building twelve, keeping them alive through markup changes, running residential egress in the right countries, and maintaining account health on the gated Chinese engines is a team with a permanent on-call rotation.
If AI visibility is your core product, build it. If it is a feature inside a larger product, the honest arithmetic usually favours buying the collection layer and spending your engineering on the part your customers actually pay for.
Where the line is
- Can we resell the data inside our own product?
- Yes. Reselling and embedding are the expected use. No attribution is required and nothing in the API response names us.
- What happens when an engine changes its markup?
- Canary prompts with known-good expected outputs run continuously per engine. When extraction quality drops, we're paged before customers notice, and parser versions are recorded on every run.
- Do you offer an SLA?
- At volume, yes — availability, extraction-success thresholds per engine, and incident communication. Terms are agreed per contract rather than published.
Tell us what you need to measure
Prompts, markets, engines and cadence. We'll come back with a price and what we can't do.
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