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, Amazon Global Accelerator, APIContext, Virtana (Virtual Instruments), Factorial, Unravel Data Systems, and 24 more — each links out to that provider’s APIs, schemas, and governance artifacts.
Related areas: Analysis, Caching, AIOps, and FinOps. 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 (34)
Top 30 of 34 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 |
| 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 |
| 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 | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Flarion | Flarion is a data-processing acceleration company that speeds up distributed compute engines — Apache Spark, Hadoop, and Ray — without code or infrastructure changes. It ships a... | 0 | emerging |
| Ethos Systems | Ethos Systems is an AI-powered human readiness platform that unifies learning, performance, and outcomes management in a single system built for enterprise and government deploy... | 0 | emerging |
| Teamworks | Teamworks is a sports technology company that builds "The Operating System for Sports" — an integrated software platform used by elite collegiate, professional, and national-tea... | 0 | emerging |
| Daisy | Daisycon is a performance‑based marketing platform offering affiliate, lead‑generation and product‑feed solutions across Europe. It connects advertisers with publishers through ... | 0 | emerging |
| Nazar | Nazar (nazar.ai) is an AI-powered database performance and cost optimization platform that helps engineering and DBA teams monitor, analyze, and tune their databases. It support... | 0 | emerging |
| The Meta | The Meta is the gaming-performance company behind KovaaK's Aim Trainer (formerly "Kovaak 2.0: The Meta"), a PC esports training platform distributed on Steam that pairs guided, ... | 0 | minimal |
| Performance | An index and topic collection covering API and web performance, including load testing, performance benchmarking, real user monitoring (RUM), Core Web Vitals measurement, latenc... | 0 | minimal |
| Big O Notation | Big O Notation is a mathematical notation used in computer science to describe the performance or complexity of algorithms, providing a way to classify algorithms by how their r... | 0 | minimal |
| HTTP/2 | HTTP/2 is the second major version of the Hypertext Transfer Protocol, defined by the IETF in RFC 7540 and standardized in 2015. It optimizes use of network resources and reduce... | 0 | minimal |
| Reniac | rENIAC Inc. is a Santa Clara-based data acceleration company whose flagship product, the rENIAC Data Engine (rDE), is a drop-in accelerator for open source and NoSQL databases s... | 0 | minimal |
Related areas
Analysis (1 shared)
Caching (1 shared)
AIOps (1 shared)
FinOps (1 shared)
Monitoring (1 shared)
Observability (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
30.6
+8.4 vs catalog 22.2
Mean Agent Readiness
17.3
+5.3 vs catalog 12
Spread
4.3–71
median 29 · σ 17.3
How the 28 split by band
Exemplar 1Strong 1Developing 9Thin 4Emerging 10Minimal 3
Facet averages, against the whole catalog
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 34.4 | 23.2 | +11.2 | 28 |
| Access Clarity | 31.9 | 23.9 | +8 | 28 |
| Operational Transparency | 20.9 | 13 | +7.9 | 28 |
| Contract Quality | 24.6 | 17.2 | +7.4 | 28 |
| Contract Governance | 10 | 6.5 | +3.5 | 28 |
| Discoverability | 60.7 | 57.9 | +2.8 | 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) | 29% | 13% | +16 |
| MCP server (first-party) | 29% | 12% | +17 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 18% | 11% | +7 |
| Security | 93% | 98% | -5 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 29% | 16% | +13 |
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 71
- 2 Amazon Global Accelerator 57.6
- 3 APIContext 50.1
- 4 Virtana (Virtual Instruments) 49.1
- 5 Factorial 48.4
- 6 Unravel Data Systems 48.4
- 7 WHOOP 47.2
- 8 Polar Signals 44.5
- 9 Google Cloud Trace 42
- 10 CodSpeed 41.9
Top by Agent Readiness
- 1 APIContext 59.5
- 2 Factorial 48.5
- 3 New Relic 45.7
- 4 Polar Signals 41.2
- 5 Amazon Global Accelerator 36.5
- 6 WHOOP 35
- 7 Virtana (Virtual Instruments) 31.3
- 8 CodSpeed 30.9
- 9 Kotzilla 29.9
- 10 Sage HR 25.4
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. 25 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 24 October 2026, across 31984 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. 25 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 24 October 2026, across 31984 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.