Relevance AI sells you AI agents inside a walled workflow builder. MeterCall gives you 5M+ callable modules, pay-per-call pricing, and lets anyone build agents that run on top — with revenue share.
Where the two platforms actually differ.
| Feature | Relevance AI | MeterCall |
|---|---|---|
| Pricing | Seat-based + credit packs ($19–$599+/mo) | Pay per call — no seats, no subscription |
| Native modules | ~150 pre-built tools | 5,000,000+ callable modules |
| Learning curve | Proprietary low-code workflow UI | Plain API + prompt — works from any agent framework |
| API marketplace | Closed integration catalog | Open, searchable, 30M+ APIs indexed |
| Pay-per-call | Credits expire monthly | Meter by call, keep your balance forever |
| Open builders | Vendor-gated tool publishing | Anyone can publish a module in minutes |
| Agents on modules | Agents use Relevance's tools only | Agents run on any module — yours or anyone's |
| Revenue share for builders | None | Builders earn per call on modules they publish |
Relevance AI sells agents. You pay a subscription, pick from their tool catalog, wire up a workflow in their UI, and your agent runs inside their product. It's a finished appliance — useful, but closed. The tools are theirs, the runtime is theirs, and when you want a capability they don't offer, you wait for their roadmap or leave.
MeterCall sells modules — and agents that run them. We don't care which framework you use (LangChain, CrewAI, raw OpenAI, your own). We care that when your agent needs to do something, there's a module for it — already priced, already metered, already live. Five million of them. And if the one you need doesn't exist, you build it, publish it, and earn revenue every time another agent calls it. Relevance is the appliance. MeterCall is the grid underneath.
Free to deploy. Pay per call. Keep 70% when others call your modules.
Deploy your agent on MeterCall →