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One API for 500+ AI models, with spend limits and failover built in.


One API for 500+ AI models, with spend limits and failover built in. Hopscotch AI: one API, every model, no markup Hopscotch is an LLM gateway: a single OpenAI-compatible API that fronts more than 500 models from Anthropic, OpenAI, Google, DeepSeek, Moonshot, Qwen and others.
Hopscotch is a genuinely transparent LLM gateway: 500+ models on one OpenAI-compatible API, list-price tokens with no markup, a free bring-your-own-keys mode, and spend limits that refuse requests before they cost money - plus failover that keeps agents running through provider outages without code changes.
Hopscotch is an LLM gateway: a single OpenAI-compatible API that fronts more than 500 models from Anthropic, OpenAI, Google, DeepSeek, Moonshot, Qwen and others. You point your existing OpenAI SDK at its base URL, drop in one key, and every model in the catalog becomes a one-line model-name change away. The pitch that separates it from a crowded gateway market is pricing: buy credit from USD 5 and pay each provider’s list price per token – no markup, no fees, no subscription.
The cost-control story is stronger than most. Every API key gets a credit limit that resets daily, weekly or monthly, with monthly caps per teammate and workspace. A request that would cross a limit is refused before it reaches the provider – exactly what you want standing between an agent loop and your balance.
Hopscotch is an LLM gateway: a single OpenAI-compatible API that fronts more than 500 models from Anthropic, OpenAI, Google, DeepSeek, Moonshot, Qwen and others. You point your existing OpenAI SDK at its base URL, drop in one key, and every model in the catalog becomes a one-line model-name change away. The pitch that separates it from a crowded gateway market is pricing: buy credit from USD 5 and pay each provider’s list price per token – no markup, no fees, no subscription.
The cost-control story is stronger than most. Every API key gets a credit limit that resets daily, weekly or monthly, with monthly caps per teammate and workspace. A request that would cross a limit is refused before it reaches the provider – exactly what you want standing between an agent loop and your balance. The Activity log lists every request with model, serving provider, outcome, tokens, cost and latency, and exports to CSV; a Usage view breaks spend down by model, provider, key and teammate.
Hopscotch commits to running the model you name – no silent swaps to cheaper models – and says which provider actually served each request. If a provider 429s or goes down, the request moves to another key or to the next model in your own routing profile, and your code still sees one request, one response. A playground runs one prompt on up to three models side by side, billed through your key, so you can compare answers and cost before changing code. These are vendor-described behaviors; we did not send requests through the gateway.
For a service that proxies your prompts, the company behind it is unusually quiet. The site announces a USD 7.5m raise but publishes no legal entity, founders, headquarters or founding year, and we found no terms of service or privacy policy pages. There is a genuine free option – bring your own provider keys and the gateway layer costs nothing with no monthly cap – but teams with compliance requirements will need those legal gaps closed first.
The pricing model is the most honest I have seen in this category, and the pre-request spend limits solve a real fear for anyone running agents. Start with the free BYOK mode and a tight key limit, and watch the Activity log. The provisional desk-research score is 4.1/5.
Desk-research disclosure: Official pages reviewed September 30, 2026. No account, API key, credit purchase or gateway requests. Company identity fields remain blank; no terms or privacy pages found. All prices and the 500+ model count are vendor-published.
Ashley Richmond desk research September 30, 2026. Official site pages reviewed: home, pricing, llms.txt, index.md, docs site. No API key, account, credit purchase or request through the gateway. Identity: no legal entity, founders, headquarters or founding year published; company fields left blank. The site announces a USD 7.5m raise without naming the entity. No terms of service or privacy policy pages found (URLs return 404) and left blank. Support: pricing page advertises email and chat support; llms.txt publishes hello@hopscotchlabs.ai (labeled Sales) and a Discord invite. Pricing facts (USD 5 minimum credit, no markup/fees/subscription, free BYOK with no monthly cap) from the official pricing page. The 500+ model count and failover behavior are vendor claims. Media: official brand-kit mark plus genuine product UI captured from hopscotchlabs.ai (request activity log, model catalog, playground). Integrations chips claude and chatgpt checked because Anthropic and OpenAI models are vendor-documented named chips. Listing titled Hopscotch AI per source CSV; vendor branding is simply Hopscotch. Sources: https://hopscotchlabs.ai/ ; https://hopscotchlabs.ai/pricing ; https://docs.hopscotchlabs.ai ; https://hopscotchlabs.ai/llms.txt ; https://www.producthunt.com/products/hopscotch-7
| Pricing | Usage-based |
|---|---|
| Free plan | No |
| Free trial | No |
| Pricing page | View pricing |
| Platforms | Web app, API / SDK |
| API | No |
| Apps Insight Score | 42/100 |
| Implementation | Easy |
| Learning curve | Beginner |
Editorial points are assigned by AppsInsight editors and cannot be purchased or influenced.
| Feature | Hopscotch AI | Imejis.io | Bucketree |
|---|---|---|---|
| Rating | 4.1 / 5 | 4.1 / 5 | 3.9 / 5 |
| Pricing | Usage-based | Free+Paid | Free+Paid |
| Starting price | — | — | $25/year for 3 Macs |
| Free plan | Included | Included | Included |
| Free trial | No | No | Yes |
| Platforms | Web app, API / SDK | Web app | macOS |
| Best for | Developers and teams running multi-model AI workloads who want one API, one bill and hard spend limits instead of juggling provider accounts. | Marketing teams and developers who need campaign images generated at scale - social posts, e-commerce banners, personalized creative - via a one-POST API or directly from Claude, ChatGPT or Cursor over MCP. | Apple silicon Mac users with B2 buckets, B2 administrators, small studios managing files and version cleanup |
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