Gravitee + Moesif: Unlocking API Observability And Monetization
APIs (application programming interfaces) have transformed how we build modern software systems. As our digital experiences become more modular and interconnected, APIs power mobile apps, partner integrations, and internal services. Most companies now expose APIs not just for technical access, but as part of a larger API business model.
But simply deploying APIs through a gateway like Gravitee doesn’t suffice. Without real-time tracking, user-level insights, and usage-based analytics, providers stay blind to how their APIs perform or how end users consume them. That’s a problem—not just for reliability, but for revenue. Monetizing APIs without observability leads to poor pricing strategy, unpredictable costs, and missed growth opportunities.
Moesif changes that. When you pair it with Gravitee, Moesif unlocks true API observability and analytics and enables sustainable API monetization. Together, they give providers visibility into the entire system—who’s calling what, how often, and what drives value. Moesif gives you the right data in meaningful ways, rather than more data, that ties to real-world business decisions.
Table of Contents
- What is Gravitee?
- What is Moesif?
- Why API Analytics Is the Foundation for Monetization
- Benefits of Using Gravitee and Moesif Together
- How to Set Up Gravitee With Moesif
- Moesif Dashboards Overview
- Key Insights: What You Can Achieve with Gravitee and Moesif
- Conclusion
What is Gravitee?
Gravitee is an open-source API management platform built for control, flexibility, and speed. It enables teams to design, secure, deploy, and monitor API services across a range of protocols and event-driven architectures—HTTP, WebSocket, Kafka, MQTT, and more. What makes Gravitee stand out is its policy engine, which lets providers enforce access controls, rate limits, and transformation rules with minimal overhead.
For teams managing internal, partner, or public APIs, Gravitee is often the first line of defense. It handles API access, versioning, throttling, and service-level governance—all critical for uptime and reliability. But while Gravitee shines in enforcement and control, it doesn’t natively offer deep insight into actual usage, customer behavior, or business impact. That’s where Moesif steps in.
What is Moesif?
Moesif helps product and engineering leaders drive more value from their APIs with powerful API analytics and monetization capabilities. This enables teams to understand API consumption, resolve customer issues, and generate more revenue from API programs.
Unlike traditional logging or tracing tools, Moesif focuses on API-level behavior—tracking not just whether APIs work, but how developers and applications interact with them. It supports real-time tracking, user segmentation, and links usage patterns to customer outcomes like upgrades, churn, or conversion. Moesif also integrates with billing systems, CRMs, and marketing tools to support end-to-end visibility across customer journeys.
Moesif collects rich behavioral and performance data with high-cardinality across every API call. It then turns that data into valuable insights for product, engineering, and growth teams like the following:
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Where are developers dropping off or getting blocked?
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Which features drive engagement or plan upgrades?
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What usage patterns are generating unpredictable costs?
Whether you monetize with a freemium model, tiered pricing, or pay-as-you-go, Moesif helps you connect API usage to pricing and revenue strategies. This results in a more scalable API program—one that optimizes for developer experience, operational efficiency, and predictable revenue.
Why API Analytics Is the Foundation for Monetization
You can’t monetize what you can’t measure. Every API monetization strategy, from tiered pricing to usage-based billing, depends on knowing exactly how customers are using your APIs. That includes not just how often endpoints are called, but who is calling them, when, and in what context.
Observability is more than monitoring
Traditional API monitoring tools focus on uptime and error rates. Those are necessary for operational health, but insufficient for revenue visibility. API observability goes deeper: it captures structured, queryable data across three core dimensions—metrics, logs, and distributed tracing. Together, these dimensions allow you to correlate usage with outcomes like conversion, plan upgrades, and churn.
Moesif excels here by making high-cardinality analytics accessible. You’re not just slicing by status codes—you’re asking:
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How many enterprise customers hit this endpoint more than 100 times in the last 24 hours?
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Which developer accounts show signs of becoming high-value users based on usage spikes?
Monetization relies on usage patterns and behavior
Most API monetization models—freemium, pay-as-you-go, tiered pricing—build on the assumption that you can measure actual usage accurately. But in practice, what qualifies as usage varies wildly. It might mean:
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Number of API calls
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Data transfer volume
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Feature-specific access like premium endpoints
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Aggregate user behavior over time
For example, AI-powered apps might measure usage in tokens processed, model inference time, or number of generated responses. A single request to a text generation API can consume way more resources than ten CRUD operations in a basic REST API. Without visibility into these metrics, it’s impossible to price accurately, or fairly.
As another example, an API provider might offer a simple flat subscription fee but overlook that one customer’s traffic regularly exceeds 10x the average. That creates unpredictable costs and erodes margins. With observability, you can detect these anomalies early and enforce higher usage limits or price adjustments based on usage tiers.
Revenue insights require user-level attribution
A critical blind spot in most basic API analytics stacks is user attribution. It doesn’t suffice to see spikes in traffic—you must know which user, team, or company is generating those spikes. Moesif’s SDKs and plugins support full attribution through user and company identification and custom metadata—tying API access to real user identities.
This unlocks a long list of API provider benefits:
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Identify high-value customers based on usage trends.
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Correlate feature adoption with customer purchases.
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Detect abuse or suspicious behavior tied to individual accounts.
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Inform a pricing strategy that aligns with perceived value.
User-level visibility is especially important when you’re monetizing external developers, where the usage patterns vary more and are unpredictable compared to internal teams.
API Observability aligns engineering and business
Finally, API observability bridges engineering telemetry and business intelligence. Engineering teams care about performance, latency, and uptime. Product and growth teams care about conversions, retention, and revenue streams. Observability tools like Moesif bring these worlds together—by surfacing technical events in a way that maps directly to customer behavior and economic impact.
This alignment makes observability not just a DevOps concern, but a core enabler of API business models. Without it, teams are forced to make monetization decisions based on guesses. With it, they operate from a foundation of real, continuous feedback.
Benefits of Using Gravitee and Moesif Together
Engineering leaders aren’t just looking to ship APIs—they actively make sure those APIs are reliable, secure, and monetizable at scale. By pairing Gravitee and Moesif, teams manage access and policy at the gateway, while extracting usage insights that drive business decisions.
Bridge the Gap Between Access Control and Business Intelligence
Gravitee is responsible for enforcing who can access what. Moesif captures how that access translates into behavior, value, and cost. Together, they form a complete feedback loop: operational enforcement on one side, strategic observability on the other. This allows platform teams to enforce rules and understand the downstream impact of those rules on customer experience and revenue.
Faster Time to Monetization with Low Overhead
Instead of building a custom logging pipeline to track API usage, pricing tiers, or overages, the Moesif-Gravitee integration enables teams to ship revenue-ready APIs with minimal engineering effort. Moesif captures usage data automatically, enriched with customer context, and makes them available for billing workflows, plan enforcement, and revenue reporting. You don’t have to write custom instrumentation or backend logic.
Cross-Functional Visibility Without Tooling Fragmentation
Engineering, product, and growth teams all interact with APIs—but usually through disconnected tools. Moesif consolidates this view by tying API behavior to actual users and accounts. Then with Gravitee’s policy enforcement and rate limits, this gives everyone—from ops to product managers—a shared understanding of who uses the APIs, how, and to what end.
A Future-Proof Stack for API-Driven Businesses
As organizations shift toward usage-based monetization and external developer ecosystems, API infrastructure must support both control and insight. Gravitee and Moesif do this natively, without requiring invasive code changes or complex event systems. You get performance and adaptability—across pricing models, customer types, and growth stages.
How to Set Up Gravitee With Moesif
See the Moesif integration docs for Gravitee for step-by-step instructions on how to set up these platforms. If you face any issues, have a look at the Server Troubleshooting Guide or contact our support team.
Moesif Dashboards Overview
Moesif dashboards are fully customizable to match how your teams work and what they care about. You can build separate dashboards for engineering, product, marketing, or any function that depends on API insights. Each dashboard organizes key metrics into workspaces, containing charts and analyses tailored to your goals.
For example, a product team might have workspaces like Top APIs over 7 Days, 30-Day API Usage by Company, or Feature Adoption by Plan—all within a single Product dashboard, like in the preceding image. You can also nest dashboards to organize views by customer segments, environments, or API versions.
This flexibility allows teams to share context, stay aligned, and dig into the metrics that matter—without jumping between tools or writing custom queries.
Key Insights: What You Can Achieve with Gravitee and Moesif
Let’s go through some practical examples to demonstrate how these platforms expose insights that help engineering leaders scale operations, support pricing models, and prioritize platform investment.
Operational Metrics with Business Context
Gateway-level metrics, like traffic volume, latency, and error rates, are important. But without user attribution, they don’t tell you who’s being affected or what it’s costing you. With Moesif, teams can perform analysis like the following:
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Track latency and error rates segmented by specific customers or plans.
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Identify endpoints or consumers generating excessive call volume.
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Detect regressions in API performance post-deploy across usage tiers.
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Set alerts based on usage thresholds for premium accounts or SLA-bound customers.
This gives engineering teams a clear link between technical health and customer experience, especially when performance issues affect high-value accounts.
Consider two examples here:
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Reducing MTTR (mean time to resolution): Engineering teams can correlate high error rates with specific customer accounts and endpoints—enabling targeted fixes rather than sifting through aggregated logs. For example, here’s a 28-day time series analysis broken down by endpoint and company domain that can quickly highlight which enterprise customers are repeatedly hitting
5xxerrors and on which routes. Visualized as a stacked bar chart, this helps teams isolate noisy endpoints, detect regressions, and escalate customer-specific issues with clarity.![Breaking down 5xx server errors by enterprise customers in Moesif]( "Using Moesif Time Series to analyze 5xx server errors across enterprise customers.")
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Prioritizing engineering resources: Instead of guessing which endpoints to optimize, teams can look at call volume by endpoint and customer tier. If enterprise accounts consistently use a latency-heavy endpoint, that becomes an optimization priority tied directly to revenue.
Platform Intelligence for Scaling API Operations
API growth often comes with hidden operational costs like underused endpoints, excessive traffic from non-paying users, or uneven version adoption. Moesif enables platform teams to:
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Detect uneven traffic across plans or endpoints and rebalance resources
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Track adoption rates for new API versions or premium features
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Monitor customer-specific traffic to guide deprecation or sunset planning
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Understand how different regions or apps use the system over time
These insights make it easier to enforce contractual SLAs, adjust rate-limiting policies, and align infrastructure investment with actual usage.
For example, here we use Moesif Time Series analysis to track a new API version’s adoption (v4) compared to older, but still supported versions (v3). The analysis looks at API usage for the past 30 days. It breaks the data down by company domains and API versions, using a custom rolling function Rolling Window to quantify the API call volume metric.
Usage Signals to Support Monetization and Pricing
Whether you’re charging per API call, bundling by tier, or running a freemium model, the biggest risk is pricing blind. Moesif provides the behavioral telemetry you need to support sustainable monetization:
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Identify customers consistently hitting rate limits who may require upsell outreach
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Correlate usage trends with revenue milestones or account expansion
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Segment power users from low-cost, low-usage customers to refine pricing structure
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Flag usage behaviors that generate unpredictable costs or violate fair-use terms
These metrics help engineering teams support usage-based pricing models and provide the data that sales, finance, or growth teams need to act with confidence.
To demonstrate, here we use Moesif to perform a Segmentation analysis for an AI API. It identifies the top customers based on their average input token consumption in the past 7 days. It defines two metrics: the number of API calls and the associated costs.
Understanding Usage, Revenue, and Cost With Billing Report Metrics
When APIs are core to your business model, you need more than traffic stats—you need to know how usage drives revenue, and how much it costs to serve that usage. Moesif’s Billing Report Metrics, powered by a robust metering system, makes this easy by turning API activity into structured reports based on monetizable events that you have defined in Billing Meters—like API calls, messages sent, or custom-defined units like input tokens for AI apps.
With Billing Report Metrics, you can:
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Apply custom filters to refine analyses
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Group by customer ID, company domain, plan, or other metadata
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Evaluate your monetization model
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Understand usage and revenue across billing providers like Stripe or even custom billing solutions
For example, here we use Billing Report Metrics to understand daily revenue for two AI products in the past 7 days.
See our guide How to Understand Revenue and Cost of API Usage in Moesif that walks you through leveraging reporting-only billing meters and Billing Report Metrics for digging into usage-based revenue.
Conclusion
APIs do more than power backend systems—they function as products that drive revenue, influence adoption, and shape the customer experience. Gravitee’s API management solution gives you control over access, traffic, and enforcement. However, without visibility into usage and behavior, you miss critical signals about product performance and growth.
When teams lack observability, they overlook where users drop off, which customers push usage limits without converting, and which endpoints degrade silently. These blind spots delay growth, hide costs, and leave revenue untapped.
Moesif fills that gap. It connects API behavior to outcomes that matter—adoption, monetization, and retention. With actionable insights, your teams can resolve issues faster, optimize pricing models, and make smarter decisions backed by real usage data.
No need to rebuild your stack. Add Moesif to your existing Gravitee deployment and start uncovering the opportunities inside your API traffic.
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