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description=Unlimited LLM tokens for AI agents — OpenClaw, Hermes Agent, n8n, Make, Zapier, or any OpenAI-compatible tool. No rate limits, one flat monthly price.;

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nlimited llm tokens for ai agents no rate limits one flat monthly price run openclaw hermes agent or any openai compatible tool as much as you want without worrying about token cost set it up in under 2 minutes get my api key no login required no credit card required free tier included 12 100 free tier slots remaining trusted by fast growing teams from set it and forget it unlimited ai compute for agents no token anxiety no surprise bills no billing anxiety never worry about tokens again it feels amazing to run openclaw without worrying about tokens sarah m head of engineering stackline standard compute api pay as you go standardcompute com setup configure standard compute with one prompt setup prompt setup prompt for standard compute configure standard compute as my default provider back up config first 1 set models mode to merge 2 add providers standardcompute copied openclaw chat k main claude sonnet 4 6 default message assistant enter to send pasted 1 copy setup prompt 2 paste in openclaw copy paste done openclaw reads the prompt and configures itself try it now no login required no credit card required trusted by teams running ai in production developers founders and agent teams use standard compute to run llm workloads reliably without token anxiety or infrastructure overhead works with any openai compatible ai agent llm calls processed 127ms api latency 99 998 uptime last 90 days switched our whole n8n stack to standard compute last month honestly forgot what a token bill even looks like lol marcus t automation engineer flowbase our agents run all day and the bill is the same every month no surprises that s it that s the tweet aisha j engineering lead nextera our ceo kept asking why the ai bill was different every month now its just 39 meetings got shorter too lmao tommy z devops stackline finally i can let my agents run without babysitting token counts genuinely life changing for our team sarah k ai lead saas startup ok so i was mass skeptical but we actually saved like 60 vs raw api costs and our agents run way more now kai m full stack dev indie i run openclaw agents for support content and data processing all unlimited still cant believe it tbh olivia h product manager autoscale no more 3am alerts about token budget thresholds just peace of mind and agents that do their job raj p sre cloudnine went from carefully rationing gpt 4 calls to just letting our agents do their thing productivity is insane now ben c tech lead gridwork switched our whole n8n stack to standard compute last month honestly forgot what a token bill even looks like lol marcus t automation engineer flowbase our agents run all day and the bill is the same every month no surprises that s it that s the tweet aisha j engineering lead nextera our ceo kept asking why the ai bill was different every month now its just 39 meetings got shorter too lmao tommy z devops stackline finally i can let my agents run without babysitting token counts genuinely life changing for our team sarah k ai lead saas startup ok so i was mass skeptical but we actually saved like 60 vs raw api costs and our agents run way more now kai m full stack dev indie i run openclaw agents for support content and data processing all unlimited still cant believe it tbh olivia h product manager autoscale no more 3am alerts about token budget thresholds just peace of mind and agents that do their job raj p sre cloudnine went from carefully rationing gpt 4 calls to just letting our agents do their thing productivity is insane now ben c tech lead gridwork we were burning through 1200 mo in api calls before now its flat and our agents actually do more way more david l founder agentops told my team to go wild with agents literally the first time ive ever said that about ai spending elena v vp engineering modalkit the flat pricing model is exactly what we needed tripled our agent fleet without a single budget conversation priya r cto buildkit the best part is not having to think about it agents just run bill stays the same exactly how it should be chris b platform engineer nexflow swithced from openai direct to standard compute through openclaw same models flat rate absolute no brainer jamie l developer freelance used to ration every single api call now i just let the agents do their thing without second guessing total game changer nina s data lead archetype finally someone solved the how much will ai cost this month problem answer same as last month lol alex k founder promptly we use agents way more freely now not because we need to but because theres no reason not to flat rate changes the mindset maria g head of ai scaleform we were burning through 1200 mo in api calls before now its flat and our agents actually do more way more david l founder agentops told my team to go wild with agents literally the first time ive ever said that about ai spending elena v vp engineering modalkit the flat pricing model is exactly what we needed tripled our agent fleet without a single budget conversation priya r cto buildkit the best part is not having to think about it agents just run bill stays the same exactly how it should be chris b platform engineer nexflow swithced from openai direct to standard compute through openclaw same models flat rate absolute no brainer jamie l developer freelance used to ration every single api call now i just let the agents do their thing without second guessing total game changer nina s data lead archetype finally someone solved the how much will ai cost this month problem answer same as last month lol alex k founder promptly we use agents way more freely now not because we need to but because theres no reason not to flat rate changes the mindset maria g head of ai scaleform our make scenarios used to blow through the budget every month switched to flat pricing and honestly havent thought about it since jonas w operations manager automatehq was mass skeptical at first how can unlimited actually be unlimited 3 months in and yeah its unlimited ryan o indie hacker the relief of not worrying about tokens is honestly undersold team ships way faster without cost anxiety in the loop sam w engineering manager dovetail openclaw standard compute is the stack every agent we deploy just works no tracking no surprises no bs lena f devops lead synthwave we used to have a whole spreadsheet tracking ai costs per team deleted it last month lol yuki t operations teamflow agents run 24 7 and i honestly forget theyre even there because everything just works in the background dani m automation eng buildops i deploy new openclaw agents for every little thing now content analysis monitoring why not its unlimited andre p growth lead launchpad genuinely changed how we think about ai went from is this worth the tokens to just build it and ship lisa h product lead arcwise our make scenarios used to blow through the budget every month switched to flat pricing and honestly havent thought about it since jonas w operations manager automatehq was mass skeptical at first how can unlimited actually be unlimited 3 months in and yeah its unlimited ryan o indie hacker the relief of not worrying about tokens is honestly undersold team ships way faster without cost anxiety in the loop sam w engineering manager dovetail openclaw standard compute is the stack every agent we deploy just works no tracking no surprises no bs lena f devops lead synthwave we used to have a whole spreadsheet tracking ai costs per team deleted it last month lol yuki t operations teamflow agents run 24 7 and i honestly forget theyre even there because everything just works in the background dani m automation eng buildops i deploy new openclaw agents for every little thing now content analysis monitoring why not its unlimited andre p growth lead launchpad genuinely changed how we think about ai went from is this worth the tokens to just build it and ship lisa h product lead arcwise switched our whole n8n stack to standard compute last month honestly forgot what a token bill even looks like lol marcus t automation engineer flowbase our agents run all day and the bill is the same every month no surprises that s it that s the tweet aisha j engineering lead nextera our ceo kept asking why the ai bill was different every month now its just 39 meetings got shorter too lmao tommy z devops stackline finally i can let my agents run without babysitting token counts genuinely life changing for our team sarah k ai lead saas startup ok so i was mass skeptical but we actually saved like 60 vs raw api costs and our agents run way more now kai m full stack dev indie pricing unlimited llm compute predictable price choose your speed starter 9 mo simple access for experimenting with agents 3 day free trial cancel anytime unlimited llm compute top tier llm models slower execution speed shared execution pool heavily optimized batching dynamic performance under load commercial use included 1 api key get started cancel anytime standard most popular 39 mo balanced performance for everyday agent workflows 3 day free trial cancel anytime unlimited llm compute top tier llm models standard execution speed shared execution pool optimized batching for efficiency dynamic performance under load commercial use included 1 api key go standard cancel anytime fast 99 mo faster execution for active and complex agent workflows 3 day money back guarantee cancel anytime unlimited llm compute top tier llm models faster execution speed priority scheduling higher capacity execution pool reduced batching latency dynamic performance optimization under load commercial use included 1 api key go fast cancel anytime turbo 399 mo maximum responsiveness for demanding agent automation 3 day money back guarantee cancel anytime unlimited llm compute top tier llm models maximum execution speed highest priority scheduling high capacity execution pool minimal batching latency optimized for sustained agent workloads commercial use included 1 api key go turbo cancel anytime faq yes we know what you re thinking here are the answers is it really unlimited yes every plan includes unlimited llm compute no per token billing no surprise invoices no usage caps to keep the platform stable for everyone we use a fair use system that includes intelligent request batching llm routing smart prompt compaction and adaptive throttling higher tier plans get faster scheduling and reduced batching latency you can read the full details on our fair use page think of it like an all you can eat buffet unlimited food but please don t smuggle a cooler in is this magic or how does it work not magic just good engineering our platform runs on four core systems that make unlimited compute sustainable intelligent batching requests from multiple users are grouped when appropriate dramatically improving gpu utilization lower tier plans batch more aggressively higher tiers batch less for faster response times llm routing our routing algorithm dynamically selects the most efficient model configuration for each request while preserving output quality complex reasoning tasks hit top tier models simpler tasks like classification or extraction use faster optimized models smart prompt compaction unnecessary tokens are trimmed and request structure is optimized before execution reducing compute waste across the platform adaptive throttling during high demand the system applies temporary throttling to distribute resources fairly higher tier plans receive priority scheduling so your requests are processed first this is the core of what enables predictable pricing while preserving top tier model quality your agent still gets flagship reasoning power we just make sure every gpu cycle counts will this work with my existing n8n make or zapier yes you don t need to rebuild anything we re designed as a drop in replacement for the openai api n8n just swap the api base url and you re done your existing setup stays intact make zapier there s one extra configuration step explained in the setup guide in your dashboard custom code any openai compatible sdk or http client works out of the box if you need help migrating reach out at contact standardcompute com one of our team members will help you via video chat what models do you support we route through the latest flagship reasoning models from three leading providers openai gpt 5 5 for frontier reasoning native computer use and token efficient agent capabilities with 1m context windows anthropic claude opus 4 6 for complex multi step reasoning coding and long running agentic tasks xai grok 4 20 for fast reasoning with multi agent architecture 2m context window and real time data integration for coding and agentic builds we route to specialized models like gpt 5 3 codex and grok build 0 1 and for simpler or high volume requests summarization classification extraction our routing algorithm automatically selects faster cost efficient models like claude haiku 4 5 and gpt 5 4 nano you get low latency without sacrificing quality where it matters the platform is model agnostic and we work on integrating new models as fast as we can when they launch no changes needed on your end how are spikes and heavy usage handled we re built for bursty agentic traffic and agentic workloads during periods of elevated demand our adaptive throttling system kicks in higher tier plans fast turbo receive priority scheduling your requests are processed ahead of lower tier traffic lower tier plans may experience additional batching or queueing but requests are not dropped occasional bursts above normal usage are expected and fully supported fair use enforcement only applies when sustained activity significantly exceeds the intended usage profile for a plan in short spikes are fine sustained abuse is not where does my data go your data is processed exclusively through us and european infrastructure from openai anthropic and xai that s it no detours through china no surprise layovers in jurisdictions you didn t sign up for we only partner with providers that offer explicit opt out from training on customer data and we ensure those settings are enabled by default your prompts and outputs are never used to train models not by us not by our providers we monitor aggregate usage metrics request volume token throughput error rates for platform stability we do not read or analyze your prompt content your data is yours what s the difference between plans every plan includes unlimited llm compute and top tier models the difference is execution speed and infrastructure priority starter 9 mo shared execution pool heavier batching great for experimenting and learning standard 39 mo shared pool with optimized batching balanced performance for everyday agent workloads fast 99 mo priority scheduling higher capacity pool reduced batching latency built for active complex agentic workloads turbo 399 mo highest priority high capacity pool minimal batching maximum responsiveness for demanding agentic workloads starter and standard come ...