Comparison
BlockRun vs Requesty
Requesty is an LLM gateway with an OpenAI-compatible API: routing by cost, latency or availability, failover, caching and analytics, on a markup over model costs. BlockRun charges each provider's own token rate, and its pay-per-call door needs no account, so an agent can pay for each call itself.
| BlockRun | Requesty | |
|---|---|---|
| Token pricing | Provider's own rate; a flat per-call fee on the pay-per-call door | A percentage markup on model costs, all features included |
| Account | None on the pay-per-call door; or an API key with a monthly invoice | Requesty account and API key |
| Bring your own key | No; BlockRun holds the provider relationships | Yes, for any provider |
| Routing | You pick the model; ClawRouter (open source) picks the cheapest capable one if you want that | Routing by cost, latency or availability, failover chains, load balancing |
| Observability | Per-call usage in every response, a public status page, a receipt per paid call | Dashboards for cost, latency, errors and cache savings, per model and team |
| Governance | Each pay-per-call request carries its own spend limit | PII masking, model allowlists, RBAC and EU data residency for enterprise |
| Beyond chat | Image, video, music and speech generation, web search, market data and multi-chain RPC | LLM gateway |
When to use which
Use Requesty if you want routing strategies, failover and team dashboards managed for you across providers, or you want to bring your own provider keys and keep them. Its governance features suit a company standardising LLM access.
Use BlockRun if you want no markup on tokens, no account for the caller, and media and data APIs on the same endpoint as the models, with each call priced before it runs.
They can coexist: a team can keep Requesty for internal apps and give its agents BlockRun, which needs no key of theirs to call.
If something on this page is wrong, email hello@blockrun.ai.
BlockRun vs Requesty questions: markup, routing, keys, agents
- Is BlockRun a Requesty alternative?
- For one OpenAI-compatible endpoint in front of many models, yes. The differences are pricing and access: BlockRun charges each provider's own token rate and takes calls with no account, while Requesty adds a markup and issues keys from an account.
- Does BlockRun add a markup on tokens like Requesty?
- No. BlockRun passes the provider's own token rate through; its margin is a flat per-call fee on the pay-per-call door. Requesty's pricing is a percentage markup on model costs.
- Does BlockRun route between providers like Requesty?
- You name the model and BlockRun serves it. ClawRouter, the open-source router, can pick the cheapest capable model for each request if you want routing; Requesty routes by cost, latency or availability inside its gateway.
- Can I bring my own provider keys to BlockRun as with Requesty?
- No. BlockRun holds the provider relationships and pays them itself, so there is no key of yours to bring, store or rotate.
- Requesty vs BlockRun for an autonomous agent: which one?
- BlockRun, if the agent has to pay for its own calls without a human-held key. Requesty, if a team wants managed routing and dashboards over the providers it already uses.
- Does BlockRun have analytics dashboards like Requesty?
- It has per-call usage in every response, a receipt for every paid call and a public status page, not a team analytics dashboard. If dashboards are the goal, Requesty has more.
- Does BlockRun cover more than the LLM gateway Requesty offers?
- Yes. The same endpoint serves image, video, music and speech generation, web search, market data and multi-chain RPC, each priced per call.
- Can I switch from Requesty to BlockRun with a base-URL change?
- For chat completions, mostly yes: both speak the OpenAI request shape. Check the model names on the models page before you switch.