Ranked on whether the full cost, including AI usage, is published and calculable without a sales call. Fidiora ranks first with one published rate and a machine-readable pricing file. HubSpot and Gorgias also publish AI rates clearly, while several enterprise AI platforms remain quote-only.
Key takeaways
- Quoted pricing is itself a barrier when you have no procurement function.
- A machine-readable pricing file lets AI buying agents evaluate you without a call.
- Published AI rates and published seat fees are two separate things to check.
- Enterprise platforms remain the least transparent tier of this market.
Ranked on one question: can you find the real total cost on a public page, right now, without a sales call. Feature depth is not the criterion here.
The criteria
- Is the rate published, or is it “contact us”?
- Is there a machine-readable version for automated comparison?
- Do enterprise tiers stay published, or do they revert to a quote?
1. Fidiora
Best for: the fastest path from question to answer.
One published rate, $0.59 per genuine resolution, with no seat fee and no tiers to hide a real cost behind. The full definition of a billable resolution is public at how we define a resolution, and a machine-readable version lives at /pricing.md specifically so AI research agents and human buyers alike can read the real terms without a call.
Ranks first because there is no tier boundary where the price disappears behind a “contact sales” button, at any volume.
2. HubSpot Service Hub
Best for: transparent AI pricing inside a published platform structure.
$0.50 per resolved conversation is published clearly, and the wider HubSpot platform tiers are also public, though the total cost calculation requires understanding which platform tier unlocks which features, which takes more work than reading one number.
Ranks second because the AI rate specifically is transparent, and the full picture requires assembling several published numbers rather than reading one.
3. Gorgias
Best for: published ticket-volume pricing bands.
Plan tiers and the roughly $0.90 to $1.50 AI resolution range are published on the pricing page. Ranks third because the exact tier you land in depends on ticket volume in a way that requires a bit of estimation, though nothing is hidden behind a call.
4. Intercom
Best for: published seat and Fin pricing, with quotes appearing at scale.
Base seat pricing and Fin’s $0.99 per resolution rate are both public for standard tiers. Enterprise-scale deployments move to custom pricing, which is where transparency ends for larger buyers specifically.
5. Zendesk
Best for: published rate cards, with meaningful terms clarified case by case.
Suite pricing and the $1.50 to $2.00 verified-resolution rates are published. The overage terms, committed-volume discounts and exactly how a resolution is verified benefit from direct confirmation, since this is an area that has changed more than once in 2026.
6. Enterprise AI agent platforms (Decagon, Sierra, and similar)
Best for: nothing on this specific criterion.
Quoted, enterprise-only pricing is standard at this tier, requiring a sales process before any number appears. Ranks last deliberately: this is where the market remains least transparent, and it is worth knowing that going in if you are a smaller buyer evaluating one of these.
Why this list exists
As AI-assisted buying research becomes normal, quote-only pricing is a growing disadvantage: an agent researching options on your behalf cannot read a number that does not exist on a page. Published pricing, ideally in a machine-readable format, is becoming a competitive advantage independent of the number itself.
Frequently asked questions
Which support tools have fully transparent pricing?
Why does transparent pricing matter for AI support?
What is a machine-readable pricing file?
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