Daniel Saks
Chief Executive Officer
With over 83% of web traffic now flowing through APIs and Gartner predicting that 70% of API-related incidents by 2026 will stem from unmonitored performance rather than coding errors, API monitoring has become mission-critical infrastructure. The cost of downtime can reach $9,000 per minute for enterprises, making robust monitoring not just a technical necessity but a business imperative. In this high-stakes environment, innovative platforms are emerging to help organizations maintain API reliability, detect anomalies, and ensure seamless user experiences. For go-to-market teams, the signals generated by these monitoring platforms—such as technology adoption, infrastructure changes, and performance issues—can provide critical insights for targeting prospects. Platforms like Landbase's AI-powered audience discovery leverage these very signals to help sales and marketing teams identify companies experiencing infrastructure challenges or upgrading their monitoring capabilities.
Postman has evolved from an API development tool into a comprehensive platform that supports the entire API lifecycle, including monitoring. Its platform enables developers to design, test, document, and monitor APIs through a collaborative interface. With scheduled API checks, assertions, and real-time notifications, Postman helps teams ensure their APIs remain healthy and performant across environments.
Postman pioneered the developer-first approach to API development with massive adoption reaching 40M+ users across individual developers to enterprise teams. The platform creates powerful network effects and industry standardization by seamlessly integrating monitoring into existing testing workflows, reducing context switching. Market recognition includes achieving a $5.6B valuation and maintaining entire API lifecycle management from design to monitoring in a single platform with a 4.6/5 rating on G2.
Datadog provides a comprehensive observability platform that unifies application performance monitoring (APM), infrastructure monitoring, log management, and API monitoring in a single solution. Its API monitoring capabilities include synthetic monitoring, real user monitoring, and distributed tracing to provide end-to-end visibility into API performance and reliability across complex cloud environments.
Datadog pioneered unified APM and API monitoring that eliminates tool sprawl for enterprises with 400+ integrations creating a comprehensive observability ecosystem. The platform achieved market leadership through AI-based anomaly detection and custom dashboards that provide actionable insights from complex data. Market recognition includes maintaining a 4.4/5 G2 rating and serving thousands of enterprise customers as a publicly traded company (NASDAQ: DDOG).
Datadog is a publicly traded company (NASDAQ: DDOG). The company went public in 2019 and raises capital through public equity and debt markets rather than venture funding rounds.
New Relic offers a full-stack observability platform that combines application performance monitoring, infrastructure monitoring, and API monitoring to provide comprehensive visibility into digital systems. Its API monitoring features include real user and synthetic monitoring, API latency tracking, dependency mapping, and AI-assisted anomaly detection to help teams quickly identify and resolve performance issues.
New Relic pioneered full-stack observability providing system-wide visibility across applications, infrastructure, and APIs with strong visualization of transaction traces helping teams understand complex inter-service dependencies. The platform achieved market leadership through unified app and API monitoring that reduces the need for multiple monitoring tools. Market recognition includes maintaining a 4.4/5 G2 rating and serving enterprise customers as a publicly traded company (NYSE: NEWR).
New Relic is a publicly traded company (NYSE: NEWR). The company went public in 2014 and raises capital through public equity and debt markets rather than venture funding rounds.
Levo.ai is an innovative API monitoring and security platform that leverages eBPF (extended Berkeley Packet Filter) technology to capture live API traffic without agents or latency overhead. The platform provides continuous API telemetry and drift detection across development, staging, and production environments, with AI-driven anomaly detection for security and performance issues.
Levo.ai pioneered eBPF-powered instrumentation that captures live traffic without agents or latency overhead, offering unified visibility across all environments. The platform achieved market disruption with TCO up to 10x lower than traditional agent-based solutions while maintaining compliance alignment with SOC2, PCI, and DPDP. Market recognition includes achieving a 5/5 G2 rating as an innovative new entrant challenging established players.
Funding information not publicly disclosed. Levo.ai is positioned as an innovative new entrant in the API monitoring space.
Uptime.com provides a comprehensive monitoring platform that includes API monitoring capabilities alongside website, server, and transaction monitoring. The platform offers real-time alerts, detailed performance metrics, trend analysis, and seamless integrations with CI/CD pipelines, messaging apps, and other monitoring tools to ensure businesses can maintain API reliability and quickly respond to issues.
Uptime.com is positioned as the "gold standard" with focus on ease of use and powerful features, offering a scalable solution that works for both startups and enterprises. The platform achieved market recognition through an intuitive interface requiring minimal configuration time that reduces time-to-value. Market validation includes comprehensive reporting with detailed performance metrics and competitive tiered pricing with 14-day free trial.
Funding information not publicly disclosed.
Checkly is a specialized API and synthetic monitoring platform designed specifically for DevOps teams. The platform combines API monitoring with site transaction monitoring to provide comprehensive coverage of critical user journeys and API endpoints. Checkly integrates seamlessly into DevOps workflows, enabling teams to monitor their APIs as code and receive alerts through their preferred communication channels.
Checkly pioneered specialized focus on DevOps workflows and team requirements, combining API and synthetic transaction monitoring for comprehensive coverage. The platform achieved significant market validation by securing $32.3M Series B funding led by Balderton Capital and Accel. Market recognition includes strong adoption among DevOps teams since founding in 2018 with modern approach to monitoring featuring automation and infrastructure-as-code focus.
Moesif provides API product analytics and monitoring focused on understanding user behavior and business metrics rather than just technical performance. The platform enables high-cardinality data analysis, detailed user segmentation, and real-time event monitoring to help product and growth teams understand how customers interact with their APIs and identify opportunities for optimization and monetization.
Moesif pioneered user-centric API observability focusing on customer interactions and business metrics with advanced user behavior analytics for understanding API usage patterns. The platform achieved market validation through $15.5M total funding before being acquired, demonstrating strong product-market fit. Market recognition includes 4.7/5 estimated rating and API monetization capabilities through analytics engine serving product and growth teams since 2016.
Sematext offers a comprehensive observability suite that includes logs, metrics, and API monitoring capabilities. The platform provides uptime and performance checks for APIs, visualization of business metrics, anomaly alerts, and comprehensive reporting to help teams maintain API reliability and quickly identify issues before they impact users.
Sematext pioneered comprehensive observability suite combining logs, metrics, and API monitoring for early detection of downtime, performance degradation, and errors. The platform achieved market recognition through easy visualization tailored for business needs and technical requirements at an accessible price point. Market validation includes strong presence in multiple "best API monitoring tools" lists with pricing starting at $5/month making enterprise observability accessible.
Funding information not publicly disclosed.
Better Stack is a modern incident management and monitoring platform that includes API monitoring as part of its uptime monitoring capabilities. The platform combines monitoring with incident management workflows, offering a developer-friendly interface, real-time alerting, and cost-effective pricing designed for startups and small businesses.
Better Stack pioneered modern, intuitive interface designed specifically for developer experience, combining API monitoring with incident management for streamlined workflows. The platform achieved growing adoption among startups and SMB customer base through startup-friendly pricing at $25/month that makes enterprise-grade monitoring accessible. Market recognition includes positioning as modern alternative to legacy monitoring tools with well-funded startup backing.
Funding information indicates a well-funded startup, though specific details not publicly disclosed.
Treblle is a developer-friendly API monitoring and analytics platform that focuses on simplifying API observability for development teams. The platform provides real-time tracking, analytics, and debugging features through an intuitive interface, helping developers quickly identify and resolve API issues without complex configuration or steep learning curves.
Treblle pioneered focus on simplifying API observability for developers with comprehensive platform featuring proprietary technology for better APIs. The platform achieved growing developer community adoption through easy-to-use monitoring and debugging features that reduce developer friction. Market recognition includes growing presence in API observability tool comparisons and strong developer-first positioning.
Funding information not publicly disclosed.
API monitoring has evolved from a nice-to-have technical capability to a business-critical function. With APIs driving over 83% of modern web traffic, any performance degradation or downtime can directly impact revenue, customer satisfaction, and brand reputation. The downtime costs for enterprises can reach $9,000 per minute, making proactive monitoring essential.
Modern API monitoring platforms go beyond simple uptime checks to provide comprehensive observability into API performance, security, and user behavior. This data doesn't just help engineering teams maintain system reliability—it also provides valuable signals about technology adoption, infrastructure changes, and business priorities that can inform go-to-market strategies.
For example, companies investing in advanced monitoring solutions like those from Datadog, New Relic, or Levo.ai are often experiencing rapid growth, scaling their engineering teams, or modernizing their technology stack. These signals—combined with other market indicators like recent funding rounds, hiring activity, and tech stack changes—can help sales and marketing teams identify high-intent prospects who are actively investing in their infrastructure reliability.
This is where platforms like Landbase Intelligence become invaluable. By aggregating and analyzing these signals across 1,500+ unique data points, Landbase helps go-to-market teams identify companies that are not just technically compatible but also demonstrating buying intent through their infrastructure investments and operational priorities.
This list highlights established leaders and fast-growing startups that:
We specifically focused on companies where monitoring is a core capability rather than an ancillary feature, ensuring this list provides genuine value for organizations evaluating API monitoring solutions.
The data generated by API monitoring platforms represents a goldmine of signals for go-to-market teams. Companies actively investing in monitoring solutions are often:
These signals, when combined with other market indicators, can help sales and marketing teams identify prospects who are not just technically compatible but also demonstrating clear buying intent. For example, a company that has recently:
...is likely experiencing growth and investing in their infrastructure reliability—making them prime targets for complementary B2B solutions.
Landbase's GTM-2 Omni leverages these very signals to help go-to-market teams build highly targeted prospect lists using natural language. Instead of manually querying databases or spreadsheets, teams can simply describe their ideal customer profile: "Companies that use Datadog for API monitoring, have 200+ employees, and raised funding in the last 6 months."
Landbase then uses its AI agents to evaluate prospects against 1,500+ signals—including technology adoption, funding events, hiring activity, and more—to deliver AI-qualified audiences ready for immediate activation. This approach transforms the complex, signal-rich data from the API monitoring ecosystem into actionable go-to-market intelligence.
API monitoring focuses on observing and analyzing the performance, availability, and reliability of APIs in real-time, primarily concerned with detecting issues and measuring performance metrics. API management, on the other hand, encompasses the entire API lifecycle including design, deployment, security, monetization, and governance. Monitoring is typically a component of comprehensive API management platforms but can also exist as standalone solutions focused specifically on observability. Both are essential for maintaining healthy API ecosystems in modern applications.
AI enhances API monitoring solutions through anomaly detection, predictive analytics, and automated root cause analysis that establish baseline performance patterns and automatically flag deviations. Modern platforms like Datadog and New Relic use AI to correlate events across multiple systems, identifying root causes faster than manual investigation. AI-driven insights help teams prioritize issues based on business impact rather than just technical severity, ensuring critical problems receive immediate attention. This intelligent approach reduces mean time to resolution and prevents minor issues from escalating into major outages.
Real-time API monitoring is crucial because modern applications depend on complex networks of interconnected services where a failure in one API can cascade throughout the entire system. With 83% of internet traffic flowing through APIs, even brief outages or performance degradation can directly impact user experience, revenue, and brand reputation at costs reaching $9,000 per minute. Real-time monitoring enables immediate detection and response to issues before they affect end users, while providing detailed diagnostic data needed to quickly resolve problems. This proactive approach prevents minor incidents from escalating into major business disruptions.
Yes, API monitoring data provides valuable signals about a company's technology adoption, growth stage, and operational priorities that inform sales and marketing efforts effectively. Companies investing in advanced monitoring solutions are often experiencing growth, scaling engineering teams, or modernizing infrastructure—all indicators of potential buying intent for complementary B2B solutions. Platforms like Landbase aggregate these signals along with 1,500+ other data points to help go-to-market teams identify and prioritize high-intent prospects. This signal-based approach enables more precise targeting than traditional firmographic data alone.
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