Pricing models compared
Flat subscription, percentage of routed volume, per-transaction fee, credit packs and revenue share, each modelled against the same illustrative run.
01This desk compares classes, not products. A comparison between two named tools ages the moment either one ships a change, and it depends on numbers neither of us can verify. A comparison between two structures - a subscription against a percentage of routed volume, a chat interface against a console, your own server against someone else's - stays true for as long as the structures exist, and it transfers to every product that adopts one.
Each piece here isolates what genuinely differs, names what does not differ despite the marketing, and states the trade-off you are accepting when you pick a side. None of them ends with a winner, because the right answer depends on facts about you rather than facts about the software.
Class-level comparisons rather than product rankings. Pricing structures, interface models and hosting models, each with the trade-off it hides.
Flat subscription, percentage of routed volume, per-transaction fee, credit packs and revenue share, each modelled against the same illustrative run.
01The interface is not cosmetic. It determines what you can audit, what you can automate, and what happens to your keys. A capability matrix for both models.
02Running the engine yourself moves cost from a subscription line to your own time and infrastructure. A total-cost frame and a decision tree for the choice.
03The most common mistake is treating a surface difference as a structural one. This table separates the two before you read any of the pieces.
| Comparison | What genuinely differs | What does not differ | The usual error |
|---|---|---|---|
| Pricing models | What scales the bill, and who absorbs the cost of a failed transaction | The underlying network fees, which you pay in every model | Comparing headline prices instead of the full price expression |
| Interface model | Where the key lives, what you can export, and what a session grants | The venues reachable on chain, which are the same for everyone | Assuming a dashboard is safer than a chat bot because it looks like software |
| Hosting model | Who carries operations, upgrades, incidents and key custody | The economics of the trades themselves once orders are on chain | Counting the licence saved and not the hours spent |
Once you know which structure you are buying, the criteria section tells you what to verify inside it, and the buying guide covers the sequence between a shortlist and a first paid run.
The measurable properties of a volume tool: custody, venue coverage, control surface, failure reporting and the questions that expose each one.
CRIWhat to do between shortlisting and paying: size a first budget, run a controlled test, and check the warning signs that predate most complaints.
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