Reliability is one of the API Evangelist areas on the APIs.io network — a focused corner of the API landscape. The full area lives at reliability.apievangelist.com.
26 providers on the network work in this area, including Svix, Gremlin, AnyHook, Chaos Mesh, tektolo-com, Zespan, and 20 more — each links out to that provider’s APIs, schemas, and governance artifacts.
Related areas: Command Line Interface and Logging. Browse every area at areas.apis.io.
About this area
An index and topic collection covering site reliability engineering (SRE), reliability platforms, service level objectives (SLOs), error budgets, chaos engineering, resilience…
Related providers (26)
Network providers tagged for this area.
| Provider | Description | APIs | Rating |
|---|---|---|---|
| Svix | Svix is an enterprise webhooks-as-a-service platform on the sending side of the webhook market. It provides a single API for delivering reliable, secure, low-latency webhooks at... | 1 | exemplar |
| Gremlin | Gremlin is a chaos engineering platform that helps teams build more resilient systems by running controlled failure experiments. It provides tools to simulate infrastructure fai... | 2 | developing |
| AnyHook | AnyHook provides a durable webhook relay service that stores every webhook event even when your server is down, allowing one‑click replay, inspection, and reliable delivery acro... | 1 | developing |
| Chaos Mesh | Chaos Mesh is a CNCF graduated cloud-native chaos engineering platform that orchestrates chaos experiments on Kubernetes to test system resilience and reliability. It exposes Ku... | 2 | developing |
| tektolo-com | Tektolo builds small, reliable tools for real-world operations work. Each one is a tested engine over rules with sources. You can use it on the web, from your AI assistant, or o... | 1 | developing |
| Zespan | Zespan provides AI agent reliability tooling that detects and prevents silent mistakes in production AI agents. It offers guardrails, monitoring, tracing, evaluation, and cost m... | 2 | developing |
| Google Cloud Error Reporting | Google Cloud Error Reporting groups and counts similar errors from cloud services and applications, reports new errors, and provides access to error groups and statistics. It au... | 1 | thin |
| Memfault | Memfault is a device observability and reliability platform for connected products built on MCUs, embedded Linux, and Android. The Memfault Cloud ingests device data (coredumps,... | 1 | thin |
| Statuspage | Statuspage by Atlassian is a hosted status page and incident communication platform that helps companies communicate real-time service status, incident updates, scheduled mainte... | 1 | thin |
| Antithesis | Antithesis is an autonomous software testing platform that finds deep bugs in mission-critical systems using deterministic simulation and continuous fuzzing. It runs your entire... | 1 | thin |
| Overops | OverOps (formerly Takipi) is a continuous reliability platform that helps teams who ship software ensure rapid code changes do not degrade the customer experience. It runs in th... | 1 | thin |
| Fiix Software | Fiix (by Rockwell Automation) is a cloud-based CMMS (Computerized Maintenance Management System) platform for maintenance and reliability teams in manufacturing, facilities, and... | 1 | thin |
| Sonarly | Sonarly is an AI production-reliability platform (Y Combinator W2026, Paris) that turns noisy production alerts into clear, deduplicated bug reports and ships ready-to-merge fix... | 1 | thin |
| NERC | The North American Electric Reliability Corporation (NERC) is the not-for-profit international regulatory authority certified by FERC in July 2006 as the Electric Reliability Or... | 0 | emerging |
| Tero | Tero provides an agent‑native telemetry layer that connects read‑only to existing observability data stores. It continuously identifies costly waste, sensitive data exposure, an... | 1 | emerging |
| Augury | Augury is a New York City-headquartered industrial AI company founded in 2011 by Gal Shaul and Saar Yoskovitz that profiles itself as the leader in Machine Health and Production... | 0 | emerging |
| Nobl9 | Nobl9 is a service-level objective (SLO) management platform that helps engineering and SRE teams define, measure, and act on reliability targets across cloud and observability ... | 2 | emerging |
| Blameless | Blameless was an SRE and incident management platform for reliability engineering teams, covering the full incident lifecycle — detection and response, on-call and severity work... | 1 | emerging |
| Agent Reliability | Agent Reliability provides testing, benchmarking, and auditing tools for autonomous AI agents. It offers a public knowledge corpus, open data, and APIs for accessing evidence, m... | 1 | emerging |
| Briza | Briza helps insurance carriers stop losing premium to slow integrations and submission errors, treating carrier API reliability as a manufacturing discipline. A team of Six Sigm... | 0 | emerging |
| proteanTecs | proteanTecs is an Israeli deep data analytics company for advanced electronics. It embeds on-chip monitoring Agents (UCT, margin, path margin, I/O and power monitors) into semic... | 0 | emerging |
| Pairio | Pairio is an AI-powered maintenance assistant for manufacturing and industrial teams, built by Pairio GmbH in Munich, Germany and backed by Y Combinator. Technicians capture voi... | 0 | minimal |
| Chargerhelp | ChargerHelp provides Reliability as a Service for electric vehicle (EV) charging infrastructure. Their platform offers data‑first monitoring, predictive maintenance, and perform... | 0 | minimal |
| Distributional | Distributional is an a16z-backed company (security contact Scott Clark) tracked in the API Evangelist network. As of July 2026 distributional.com serves a pre-launch holding pag... | 0 | minimal |
| ChinaiST Testing Service | ChinaiST Testing Service is a high‑tech enterprise founded in Shanghai in 2002, offering chip line modification, failure analysis, reliability verification, wafer micro‑structur... | 0 | minimal |
| Omen | Omen (omen.ai) delivers real-time asset intelligence through continuous fluid analysis, monitoring the health of mission-critical machinery in data centers and heavy industry. I... | 0 | minimal |
Terms in this area (5)
- ITIL — ITIL (IT Infrastructure Library) is a set of detailed practices for IT service management (ITSM) that focuses on aligning IT services with the needs of busines…
- ITSM — IT Service Management (ITSM) refers to the entirety of activities directed by policies, organized and structured in processes and supporting procedures that ar…
- QoS — Quality of Service (QoS) is the description or measurement of overall performance of a service, particularly in computer networking and telecommunications. QoS…
- Quality of Service — Quality Of Service provides specialized quality of capabilities delivered as a managed offering, often accessible via APIs or cloud interfaces. It allows organ…
- Quality Standards — Frameworks and benchmarks that define acceptable levels of quality for products, services, or processes to ensure consistency and meet customer expectations. P…
Related areas
Cohort brief
Auto-generatedThe 23 providers in the APIs.io catalog working in Reliability, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
Providers
23
of 26 in the catalog
Mean Kin Score
26.8
+4.0 vs catalog 22.8
Mean Agent Readiness
16
+2.7 vs catalog 13.3
Spread
4.5–74.5
median 28 · σ 16.8
How the 23 split by band
Exemplar 1Strong 0Developing 4Thin 7Emerging 7Minimal 4
Facet averages, against the whole catalog
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 28.4 | 22.1 | +6.3 | 23 |
| Discoverability | 63.2 | 57.9 | +5.3 | 23 |
| Operational Transparency | 17.2 | 12.4 | +4.8 | 23 |
| Contract Quality | 22.1 | 18.2 | +3.9 | 23 |
| Contract Governance | 10.2 | 9.4 | +0.8 | 23 |
| Access Clarity | 23.9 | 25 | -1.1 | 23 |
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) | 13% | 16% | -3 |
| MCP server (first-party) | 17% | 14% | +3 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 13% | 13% | 0 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 48% | 35% | +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 Svix 74.5
- 2 Gremlin 47.3
- 3 AnyHook 42.2
- 4 Chaos Mesh 42.2
- 5 tektolo-com 41.5
- 6 Zespan 40.4
- 7 Google Cloud Error Reporting 39.1
- 8 Memfault 35.8
- 9 Statuspage 35.1
- 10 Antithesis 34.2
Top by Agent Readiness
- 1 Svix 53.1
- 2 AnyHook 48.1
- 3 tektolo-com 32.6
- 4 Memfault 31.6
- 5 Sonarly 25.5
- 6 Zespan 24.3
- 7 Gremlin 22
- 8 Overops 21.3
- 9 Statuspage 20.1
- 10 Google Cloud Error Reporting 19.6
All 26 members of this roster resolve to a provider in the
catalog; 23 carry a score (88%).
The figures above describe the scored members only.
Coverage caveat. 18 of 23 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. 18 of 23 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.