How do their growth rates compare?

nOps has a month-over-month growth rate of +13.8%; Surf has -18.9%.

How does pricing compare?

nOps: Usage-based. Usage-based and results-based. Autonomous Rate Optimization is charged as a share of realized savings; Cost Visibility & Allocation is a fixed fee based on cloud spend. A 14-day free trial and a free 30-minute savings analysis are available. nOps is also purchasable through AWS Marketplace. Surf: Free, Pro, Max, API credits. Surf publishes a tiered pricing page covering Free, Pro, and Max plans alongside API credit packages, with annual billing options and Studio credits bundled at higher tiers. Exact figures change over time, so check the official pricing page before purchasing.

What are alternatives to nOps and Surf?

Other tools in related categories include LuxAlgo, MacroMicro, Aime, Intellectia.Ai, Windward Maritime AI.

nOps vs Surf — Traffic (97.96K vs 116.25K), Pricing & Verdict

Open AI Tools

nOps vs Surf — Traffic (97.96K vs 116.25K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	nOps	Surf
Official Domain	nops.io	asksurf.ai
Pricing Model	Usage-based	Free, Pro, Max, API credits
Monthly Visits	97.96K (97,959)	116.25K (116,252)
MoM Traffic Delta	+11.9K (+13.8%)	-27.18K (-18.9%)
Primary Market & Share	🇺🇸 United States (52.2%)	🇰🇷 South Korea (32.6%)
Direct Visits / mo	32.03K	88.81K
User Rating	4.4	4.2
Supported Platforms	Website	Website

nOps

Autonomous cloud cost optimization that pays for itself

Autonomous commitment management

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.

Cost visibility and allocation

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.

AI cost intelligence

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.

Savings tracking and workflows

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.