Qyro

$QYRO is officially live on @Stockereum , on Ethereum Chain. Today marks a new chapter for Qyro as the platform introduces its native token. $QYRO Official Contract Address: 0x45f58733c1bee62f67d0405f033d57056f4b9869 From day one, Qyro has focused on making AI more accessible through a unified platform. With 312 models, 60+ providers, and a single OpenAI-compatible API, users can access multiple AI capabilities through one integration and one credit balance. All of this was built and operational before $QYRO existed. The introduction of $QYRO does not change how the platform works. Credits remain the payment method for AI usage, while the token introduces additional utility, benefits, and participation opportunities for holders. The platform comes first. The token supports what comes next. Security reminder: Always verify the official contract address before making any transaction. Our team will never contact you first through direct messages. Explore Qyro: askqyro.app Start using AI: askqyro.app/app

A real coding task, metered in public. Refactor a mid-size module, explain the diff, write the tests. Routed to code-specialist. Total time: 2.4 seconds. Total cost: 6.2 credits. That is $0.0062, shown before the request was sent and confirmed in usage.credits when it finished. No seat. No monthly minimum. No unused allowance quietly expiring at the end of the billing cycle. The task happened, the meter counted it, the balance moved by exactly 6.2 credits. This is what pay per use looks like when you stop rounding it into a subscription.

A model catalogue is never finished. Providers release new models. Existing models change. Pricing moves. New capabilities become useful. A model that was ideal for one workflow can eventually be replaced by something better suited to the job. Qyro is built around that reality. The catalogue currently brings 312 models from 60+ providers into one interface, with the ability to compare and switch models without changing the underlying workflow. The question is not whether the catalogue will keep changing. It is what should be added next. Browse the current catalogue and tell us which model or provider you want to see on Qyro → askqyro.app/models

An AI API is more than a model endpoint. Behind every request are authentication, rate limits, model discovery, provider routing, streaming, usage tracking, and billing. Those systems are easy to overlook when everything works. Qyro brings them together behind one API surface, with the model catalogue, funding system, metering, and usage reporting connected to the same infrastructure. That is the part of AI infrastructure most users should not have to rebuild themselves. For developers building on top of multiple models, the goal is simple: One integration. More choices. Read the API documentation → askqyro.app/developers

A modern AI workflow rarely uses only one modality. You might research a technical problem in the morning, write code after lunch, generate an image for a product page, and produce a short video for the launch. Traditionally, each workflow can mean another account, another API, and another billing system. Qyro brings those workloads into one platform. Chat. Research. Code. Image. Video. Audio. Different models and different providers, but one balance and one place to manage the workflow. Open Qyro → askqyro.app/app

Choosing an AI model is also a decision about where your request is processed. Price and benchmark performance are only part of that decision. Qyro states that prompts and outputs are never used for training. At the same time, requests still execute on provider infrastructure, which means provider-level retention policies matter. That information is surfaced on model cards so you can review the policy before selecting a model. Privacy should not depend on assumptions. It should be something you can inspect before you send the request. Review the model catalogue → askqyro.app/models

There is no universal definition of the "best" AI model. The right model depends on the job. A coding request has different requirements from a research task. A simple question does not need the same model as a complex reasoning problem. Qyro gives you both sides of that choice. Select a specific model when you know exactly what you want, or use qyro-auto and let the routing layer choose the model for the request. Either way, the usage is metered against the same balance. Explore model routing → askqyro.app/models

Most AI subscriptions ask you to estimate how much you will use before you start. That creates a simple problem. If you use less than the plan allows, you paid for capacity you never needed. If you need more, you are pushed toward another tier. Qyro takes a different approach. Your balance is metered against actual usage. The exact cost is shown before you send the request, and the final response reports the credits consumed. No seat to maintain. No monthly usage quota to optimize around. Just pay for the infrastructure you actually use. Start building → askqyro.app/app

If your application already uses the OpenAI API, integrating another model provider should not require rebuilding your entire stack. Qyro is OpenAI-compatible. Point your existing SDK at the Qyro API, select the model you want, and access a catalogue of 312 models from 60+ providers through the same interface. Streaming is supported through SSE, and the final response includes usage.credits so your application can track the exact amount consumed by the request. One integration. A much larger model surface. Read the developer documentation → askqyro.app/developers

The AI market does not have a model shortage. It has an infrastructure problem. A serious workflow can involve multiple providers for coding, research, reasoning, image generation, video, and audio. Each provider brings its own API, billing system, limits, and model catalogue. Qyro puts that complexity behind one interface. 312 models. 60+ providers. One balance. One OpenAI-compatible API. You can choose the model yourself, compare the available options, or let qyro-auto route the request for you. Explore the platform → askqyro.app/app

What does $10 actually buy on Qyro? 10,000 credits. Locked at funding. Never expiring. At published rates: → ~4.1M output tokens on qro-chat-large ($2.40 / 1M) → ~1.2M on qro-reason-max ($8.10 / 1M) → ~8.3M on retrieval-pro ($1.20 / 1M) Or mix all three. Same balance. No plan to pick, no seat to feed. Start with $10 → askqyro.app

What does $QYRO actually do? First, holding bands. The more $QYRO on your linked account, the better your platform conditions. Lower effective rates on metering, higher API rate limits, and early access to new model listings as providers ship them. Your band is read from the chain, not from a form you fill out. Second, priority. When demand spikes, holders route first. The same models, the same meter, a shorter queue. Third, a say in the catalogue. Which models get added next is a decision the community should shape. $QYRO holders vote on listing priorities, and the results are public. One thing $QYRO is not: it is not a payment token and it is not a dividend token. Usage is still paid in credits, always at $1 = 1,000 credits. The token is access, ownership, and voice.

"Do you train on my data?" is now a due-diligence question. Our answer is no. Prompts and outputs are never used for training. Full stop. But your request still executes on provider infrastructure, so we publish each provider's retention policy on every model card, before you pick one. Privacy you can't verify is a promise. Privacy you can check is a feature. Every model card. Every retention policy. Up front. askqyro.app/models

Your OpenAI integration already works on Qyro. That's the diff. 312 models behind one line. Docs → askqyro.app/developers

What is a Qyro credit? The unit: 1 credit = $0.001. $1 = 1,000 credits. Always. The lock: You fund with USDG, a dollar stablecoin, so the rate locks the moment your deposit confirms on-chain. No slippage, ever. The expiry: There isn't one. Your balance sits there until you build something with it. The meter: Text per token. Images per image. Video per second. Shown before you send.

312 models. 60+ providers. One balance. Chat. Research. Code. Image. Video. Audio. API. Every request metered. Every cost shown before you send. Qyro is live → askqyro.app

Every AI subscription is a bet that you'll use less than you paid for. Look at what a serious builder stacks up every month. Chat: $20. Coding seat: $20. Image: $30. Video: $50. Four invoices. Four logins. Four retention policies. And in most months, half of it goes unused. The unused subscription is the business model: Seats and tiers only make sense when switching costs are high. They're not. Not anymore. So we built the boring alternative: One balance. 312 models from 60+ providers. Text, code, image, video, audio. Metered per token, per image, per second. $1 = 1,000 credits, locked the moment you fund. Credits never expire. And every request shows its exact cost before you send it. Pay for what you use. Nothing else. askqyro.app