Performance is one of the API Evangelist areas on the APIs.io network — a focused corner of the API landscape. The full area lives at performance.apievangelist.com.
30 providers on the network work in this area, including New Relic, APIContext, Amazon Global Accelerator, Factorial, Polar Signals, Virtana (Virtual Instruments), and 24 more — each links out to that provider’s APIs, schemas, and governance artifacts.
Related areas: Analysis, Caching, AIOps, and Agent Skills. Browse every area at areas.apis.io.
About this area
An index and topic collection covering API and web performance, including load testing, performance benchmarking, real user monitoring (RUM), Core Web Vitals measurement, latency…
Related providers (45)
Top 30 of 45 network providers tagged for this area — search the full set on apis.io.
| Provider | Description | APIs | Rating |
|---|---|---|---|
| New Relic | New Relic offers an AI‑powered observability platform that provides application performance monitoring, digital experience monitoring, infrastructure monitoring, log management,... | 5 | exemplar |
| APIContext | APIContext (formerly APImetrics) is a synthetic API testing, monitoring and conformance platform. It calls the APIs you depend on from cloud locations around the world on a sche... | 5 | strong |
| Amazon Global Accelerator | Amazon Global Accelerator is a networking service that improves the performance and availability of applications with local or global users. It provides static IP addresses that... | 1 | strong |
| Factorial | Factorial is an all-in-one HR, payroll, time, talent, finance, and IT management platform headquartered in Barcelona, Spain, used by 16,000+ companies worldwide. The Factorial p... | 2 | developing |
| Polar Signals | Polar Signals is a continuous profiling company built by the team behind the open-source Parca project. Its Polar Signals Cloud product uses eBPF to continuously profile CPU, me... | 1 | developing |
| Virtana (Virtual Instruments) | Virtana (formerly Virtual Instruments) is an AI-powered hybrid infrastructure observability company whose platform monitors and optimizes performance, cost, and risk across on-p... | 3 | developing |
| WHOOP | WHOOP is a fitness and recovery wearable platform providing a REST API for accessing sleep, recovery, strain, and workout metrics from the WHOOP band. The API uses OAuth 2.0 aut... | 2 | developing |
| Unravel Data Systems | Unravel Data Systems is an AI-powered data observability and FinOps platform that helps data teams optimize performance, cost, and reliability across modern data stacks includin... | 1 | developing |
| CodSpeed | CodSpeed is a continuous performance testing and optimization platform that automatically detects performance regressions in pull requests and proposes autonomous optimizations.... | 0 | developing |
| Google Cloud Trace | Google Cloud Trace is a distributed tracing system that collects latency data from applications and displays it in near real-time. It helps developers understand how requests pr... | 1 | developing |
| Google Cloud Profiler | Google Cloud Profiler is a statistical, low-overhead profiling service that continuously monitors CPU usage and memory allocation in production applications. It attributes resou... | 1 | developing |
| AppSignal | AppSignal provides error tracking, performance monitoring, and host monitoring for modern applications. It offers features like anomaly detection, uptime monitoring, metric dash... | 1 | thin |
| Kotzilla | Kotzilla is a French developer-observability company based in Toulouse, founded by the creators of Koin — the open-source dependency-injection framework for Kotlin, which Kotzil... | 1 | thin |
| Sage HR | Sage HR (formerly CakeHR) is a cloud HRIS for small and mid-sized businesses, owned by Sage Group plc. It bundles core HR records, leave management, performance, recruitment (AT... | 1 | thin |
| Unikraft | Unikraft is an open-source unikernel library operating system (LibOS) that enables developers to build ultra‑lightweight, high‑performance virtual machines called unikernels. It... | 5 | thin |
| CacheBoost | CacheBoost provides automatic cache warming for websites, improving performance, SEO, and user experience. It supports WordPress, Magento, PrestaShop, and other platforms, offer... | 1 | thin |
| QuestDB | QuestDB is a high-performance open-source time-series database. It exposes three programmatic surfaces — an HTTP REST API for SQL queries and CSV import/export, the InfluxDB Lin... | 1 | thin |
| Scout APM | Scout APM provides AI‑assisted application performance monitoring, offering real‑time error tracking, log management, metrics, query analysis, and alerting. Its platform integra... | 1 | thin |
| Grafast | Next-generation PostgreSQL-backed GraphQL planning and execution engine from the Graphile project, replacing graphql-js execution with a plan-based approach to eliminate N+1 que... | 1 | thin |
| NodeSource | NodeSource provides enterprise-grade Node.js support, performance monitoring, and security tools. Their offerings include N|Solid runtime, AI-powered Copilot, professional servi... | 2 | emerging |
| HeadSpin | HeadSpin is a real-device digital-experience, functional, and performance testing platform for mobile, web, and OTT applications. Teams test, monitor, and optimize app behavior ... | 1 | emerging |
| Vegeta | Vegeta is an open source HTTP load testing tool and library written in Go for generating constant request rates to measure API performance and reliability under sustained load. ... | 1 | emerging |
| ReadySet | Readyset is a realtime SQL caching engine for Postgres and MySQL. It sits between applications and the database as a wire-compatible proxy, automatically caching the results of ... | 0 | emerging |
| Granulate | Granulate is a real-time continuous optimization company acquired by Intel in 2022 and now offered as Intel Tiber App-Level Optimization. Its platform autonomously tunes OS-leve... | 0 | emerging |
| AxoWatch | AxoWatch provides AI‑driven website monitoring that continuously watches your site’s user flows, uptime, page speed, and error events. It detects issues such as broken checkout ... | 1 | emerging |
| e18e | e18e (Ecosystem Performance) is an initiative focused on improving JavaScript package performance by cleaning up redundant dependencies, speeding up builds, and leveling up code... | 1 | emerging |
| Skylight | Skylight provides a smart profiling platform for Ruby and Rails applications, turning performance data into actionable insights. It helps developers identify bottlenecks, unders... | 0 | emerging |
| ALPNAI | ALPNAI is a Swiss‑based SaaS platform that provides economic and performance analysis for AI agents. It offers tools such as Spend Proof, Latency Lab, and Quality Gate to measur... | 1 | emerging |
| Merbridge | Merbridge is an open source, eBPF-based service mesh acceleration tool that replaces iptables rules with eBPF traffic interception and uses msg_redirect to shorten the datapath ... | 1 | emerging |
| seorecords-com | Des corrections SEO posées au moment où la page est servie : votre site reste le vôtre, chaque source citée. Des records mesurés, datés, rejouables. Corrige le référencement et ... | 1 | emerging |
Related areas
Analysis (1 shared)
Caching (1 shared)
AIOps (1 shared)
Agent Skills (1 shared)
FinOps (1 shared)
Monitoring (1 shared)
Cohort brief
Auto-generatedThe 28 providers in the APIs.io catalog working in Performance, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
Providers
28
of 30 in the catalog
Mean Kin Score
36
+13.2 vs catalog 22.8
Mean Agent Readiness
22.6
+9.3 vs catalog 13.3
Spread
15.3–76.5
median 35.4 · σ 15.6
How the 28 split by band
Exemplar 1Strong 2Developing 8Thin 7Emerging 10Minimal 0
Facet averages, against the whole catalog
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 39.1 | 22.1 | +17 | 28 |
| Access Clarity | 41.9 | 25 | +16.9 | 28 |
| Contract Quality | 28.8 | 18.2 | +10.6 | 28 |
| Operational Transparency | 22.7 | 12.4 | +10.3 | 28 |
| Discoverability | 64.3 | 57.9 | +6.4 | 28 |
| Contract Governance | 14.8 | 9.4 | +5.4 | 28 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
What this cohort publishes
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 36% | 16% | +20 |
| MCP server (first-party) | 36% | 14% | +22 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 21% | 13% | +8 |
| Security | 96% | 98% | -2 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 50% | 35% | +15 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
Top by Kin Score
- 1 New Relic 76.5
- 2 APIContext 60.9
- 3 Amazon Global Accelerator 59.4
- 4 Factorial 53.8
- 5 Polar Signals 52.4
- 6 Virtana (Virtual Instruments) 49.1
- 7 WHOOP 48.8
- 8 Unravel Data Systems 44.2
- 9 CodSpeed 43.4
- 10 Google Cloud Trace 42
Top by Agent Readiness
- 1 APIContext 62.2
- 2 Factorial 48.5
- 3 New Relic 45.7
- 4 Polar Signals 41.2
- 5 WHOOP 35
- 6 Amazon Global Accelerator 34.1
- 7 AppSignal 33.5
- 8 Virtana (Virtual Instruments) 31.3
- 9 CodSpeed 30.9
- 10 Kotzilla 29.9
All 30 members of this roster resolve to a provider in the
catalog; 28 carry a score (93%).
The figures above describe the scored members only.
Coverage caveat. 22 of 28 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 7 November 2026, across 38912 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Coverage caveat. 22 of 28 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 7 November 2026, across 38912 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Work with this as data
Every area here is available over the APIs.io API and to AI agents over MCP.