nOps registra 97.959 visitas mensuales con un crecimiento intermensual de +13,8 % y un modelo de precios Usage-based. SaaSpec registra 0 visitas mensuales con un crecimiento de 0 % y un modelo de precios De pago.
nOps is an automated cloud cost optimization platform that combines AI-powered cost visibility with autonomous commitment management. It continuously purchases and rebalances AWS, Azure, and GCP savings commitments to raise your effective savings rate, while giving FinOps, engineering, and finance teams hourly visibility into multicloud, Kubernetes, SaaS, and AI costs.
Mide el uso de API LLM de pago por uso y convierte los costes de tokens en facturas de Stripe
| Dimensión / Métrica | ||
|---|---|---|
| Dominio oficial | nops.io | saaspec.com |
| Modelo de precios | Usage-based | De pago |
| Visitas mensuales | 97,96 mil (97.959) | 0 (0) |
| Variación de tráfico intermensual | +11,9 mil (+13,8 %) | 0 (0 %) |
| Mercado principal y cuota | 🇺🇸 Estados Unidos (52,2 %) | 🌐 Global (—) |
| Visitas directas / mes | 32,03 mil | 0 |
| Valoración de usuarios | 4,4 | 4,1 |
| Plataformas compatibles | Sitio web | Sitio web |
nOps is an automated cloud cost optimization platform that combines AI-powered cost visibility with autonomous commitment management. It continuously purchases and rebalances AWS, Azure, and GCP savings commitments to raise your effective savings rate, while giving FinOps, engineering, and finance teams hourly visibility into multicloud, Kubernetes, SaaS, and AI costs.
An autonomous engine maps your usage patterns hourly, buys the optimal mix of Reserved Instances, Savings Plans, and committed use discounts, and rebalances continuously to keep discounts high without locking you into long commitments.
See multicloud, Kubernetes, SaaS, and AI spend at hourly granularity, with business context, forecasting, anomaly detection, and unit economics that show what actually drives cost.
Allocate hourly AI spend to the model, account, team, customer, and feature behind it, covering providers such as Amazon Bedrock, OpenAI, Claude, and Cursor, with recommendations for token efficiency, model choice, and caching.
Track Effective Savings Rate, commitment coverage, and realized savings in real time, and route alerts and tasks into tools like Slack, Jira, Datadog, and Snowflake.
Mide el uso de API LLM de pago por uso y convierte los costes de tokens en facturas de Stripe
Rastrea cuántos tokens consume cada usuario final de tu producto de pago por uso mediante llamadas a la API de LLM, para atribuir el coste a la cuenta correcta.
Un panel alojado agrega los datos medidos para que veas qué usuarios impulsan el consumo antes de facturarles.
Exporta los datos de usuarios de un mes a CSV, obteniendo un registro portable que puedes revisar, archivar o alimentar a otras herramientas.
Convierte los datos mensuales exportados en facturas de Stripe para clientes de pago por uso, cerrando el ciclo entre uso y cobro.
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