AIOps is one of the API Evangelist areas on the APIs.io network — a focused corner of the API landscape. The full area lives at aiops.apievangelist.com.
30 providers on the network work in this area, including Akuity, LogicMonitor, BigPanda, Soda, FireHydrant, Groundcover, and 24 more — each links out to that provider’s APIs, schemas, and governance artifacts.
Related areas: Logging, Observability, Monitoring, and Agents. Browse every area at areas.apis.io.
About this area
AIOps applies artificial intelligence and machine learning to IT operations, enabling intelligent alerting, anomaly detection, automated root cause analysis, and predictive…
Related providers (50)
Top 30 of 50 network providers tagged for this area — search the full set on apis.io.
| Provider | Description | APIs | Rating |
|---|---|---|---|
| Akuity | Akuity is the enterprise software delivery company founded by the creators of Argo CD and Kargo. The Akuity Platform is its commercial, fully-managed offering: hosted, enterpris... | 8 | exemplar |
| LogicMonitor | LogicMonitor is an AI-powered hybrid observability and AIOps platform that monitors infrastructure, cloud and multi-cloud estates, containers, networks, databases, storage, logs... | 2 | exemplar |
| BigPanda | BigPanda is an agentic IT operations (AIOps) platform that ingests alerts from monitoring and observability tools, correlates them into a small number of actionable incidents, l... | 29 | exemplar |
| Soda | Soda is a data quality and data observability platform for the modern data stack. Its core abstraction is the data contract — a declarative YAML source of truth that defines the... | 1 | exemplar |
| FireHydrant | FireHydrant is an incident management platform, now part of Freshworks, that covers the whole incident lifecycle — declaring and driving incidents from Slack or Microsoft Teams,... | 2 | strong |
| Groundcover | groundcover is a cloud-native observability platform that uses eBPF for zero-instrumentation monitoring of Kubernetes and Linux workloads, covering logs, metrics, traces, Kubern... | 1 | strong |
| Moogsoft | Moogsoft is an AIOps platform for IT operations, DevOps and SRE teams that ingests events, alerts and metrics from across a hybrid estate, deduplicates and reduces noise, correl... | 17 | strong |
| Chronosphere | Chronosphere is a cloud-native observability platform for controlling the cost and volume of telemetry data at scale, spanning metrics, logs, traces and change events. It ships ... | 4 | strong |
| Logz.io | Logz.io is a managed cloud observability platform built on the ELK Stack (Elasticsearch / Logstash / Kibana, plus OpenSearch and Grafana) that unifies log management, infrastruc... | 1 | strong |
| Deployxa | AI-first autonomous cloud deployment platform for deploying AI-built and containerized web apps to production, featuring a deployment intelligence engine, global edge deployment... | 1 | strong |
| Elastic Observability | Elastic Observability is Elastic's unified logs, metrics, traces and profiling solution, built on the Elastic Stack. Its published machine-readable contract is the Observability... | 1 | strong |
| ScienceLogic | ScienceLogic is an AIOps and IT operations company whose ScienceLogic AI Platform — rebranded in 2026 as the Skylar family — covers infrastructure and application observability,... | 1 | strong |
| Metaplane | Metaplane is a data observability platform for data teams — automated anomaly detection, data quality monitoring, column-level lineage, schema-change alerting and data CI/CD acr... | 1 | strong |
| 7SIGNAL | 7SIGNAL is an enterprise wireless and wired network experience monitoring platform, headquartered in Independence, Ohio, that measures Wi-Fi and network performance from the cli... | 2 | strong |
| Coralogix | Coralogix is a comprehensive observability platform that delivers real‑time log analytics, metrics, tracing, and AI‑driven insights. It enables developers, DevOps, and SRE teams... | 1 | strong |
| Kentik | Kentik is a network observability company whose SaaS platform (the Kentik Portal) unifies network flow records, BGP routing, SNMP and streaming telemetry, synthetic tests, and c... | 20 | developing |
| Zenoss | Zenoss is an AIOps and full-stack IT infrastructure monitoring platform, acquired by Virtana in May 2025 and now sold as Virtana Service Observability. It ingests metrics, event... | 3 | 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 |
| IncidentFox (Brownie) | IncidentFox (the company was surfaced in the API Evangelist network under its Y Combinator portfolio codename "Brownie") is an open-source, AI-powered SRE platform that automate... | 1 | developing |
| RunWhen | RunWhen is an AI platform for building safe-for-production agents that triage alerts, remediate infrastructure, analyze cost, and answer questions about production systems. Engi... | 1 | developing |
| Juniper Mist AI | Juniper Mist AI is the AI-driven enterprise networking platform that powers Juniper Networks' AI-Native Networking portfolio. Acquired by Juniper Networks in 2019, Mist pioneere... | 1 | developing |
| OpsMill | OpsMill is the company behind Infrahub, an open-source, graph-based infrastructure data management platform that unifies a source of truth for network, data center, and cloud au... | 1 | developing |
| Doctor Droid | Doctor Droid (DrDroid), built by Deep Sea Tech Inc., is an AI-powered SRE and on-call agent that builds a knowledge graph of your technology stack — cloud, code, and telemetry —... | 1 | developing |
| Deeptrace | Deeptrace is an AI SRE (site reliability engineering) agent that automatically investigates and root-causes production alerts by reasoning across logs, traces, metrics, and code... | 1 | developing |
| Chamber | Chamber is an AIOps control plane for enterprise AI infrastructure (Y Combinator W26, Seattle). Its always-on agent — Chambie — monitors, diagnoses, and automatically resolves G... | 1 | developing |
| Neubird | NeuBird AI is "The Production Operations Agent" — an autonomous AI SRE platform that investigates, triages, and resolves production incidents. It connects to an organization's e... | 1 | developing |
| Motadata | Motadata (Mindarray Systems) is a global IT software company running two AI-native platforms on a shared deep-learning foundation: ObserveOps, a unified observability and AIOps ... | 2 | thin |
| Carrot Labs | Carrot Labs is the company behind SuperPenguin, an AI spend intelligence platform that tracks, attributes, and forecasts spending across 14+ LLM, speech, and gateway providers i... | 1 | thin |
| Kosmos AI Labs | Kosmos AI Labs builds an operational intelligence platform that correlates signals across fragmented enterprise systems — Jira, Salesforce Service Cloud, GitHub, ServiceNow, Zen... | 1 | thin |
| Incident.io | incident.io is an incident management platform that helps teams declare, manage, and learn from incidents. | 1 | thin |
Related areas
Logging (3 shared)
Observability (3 shared)
Monitoring (2 shared)
Agents (1 shared)
Microservices (1 shared)
Performance (1 shared)
Markets provisional
Kin Score markets whose measured providers carry this area. Share is the fraction of the market's measured providers that carry it — it describes the market, not this area.
| Market | Share of the market's providers |
|---|---|
| Observability | 24% |
Cohort brief
Auto-generatedThe 30 providers in the APIs.io catalog working in AIOps, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
Providers
30
all scored
Mean Kin Score
52.8
+30.6 vs catalog 22.2
Mean Agent Readiness
32.6
+20.6 vs catalog 12
Spread
28.9–73
median 55.3 · σ 12
How the 30 split by band
Exemplar 4Strong 11Developing 11Thin 4Emerging 0Minimal 0
Facet averages, against the whole catalog
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 61.8 | 23.2 | +38.6 | 30 |
| Access Clarity | 57.9 | 23.9 | +34 | 30 |
| Operational Transparency | 43.8 | 13 | +30.8 | 30 |
| Contract Quality | 44.8 | 17.2 | +27.6 | 30 |
| Discoverability | 70.9 | 57.9 | +13 | 30 |
| Contract Governance | 17.1 | 6.5 | +10.6 | 30 |
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) | 60% | 13% | +47 |
| MCP server (first-party) | 60% | 12% | +48 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 27% | 11% | +16 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 3% | 2% | +1 |
| Governance rules | 23% | 16% | +7 |
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 Akuity 73
- 2 LogicMonitor 72.6
- 3 BigPanda 71.6
- 4 Soda 70.4
- 5 FireHydrant 64.9
- 6 Groundcover 62.5
- 7 Moogsoft 61.5
- 8 Chronosphere 60.9
- 9 Logz.io 59.7
- 10 Deployxa 59.5
Top by Agent Readiness
- 1 Chronosphere 55.4
- 2 Deployxa 54.1
- 3 7SIGNAL 51.2
- 4 ScienceLogic 50.6
- 5 BigPanda 50
- 6 Groundcover 50
- 7 Incident.io 46.9
- 8 Moogsoft 43.3
- 9 RunWhen 40.2
- 10 Soda 39.4
All 30 members of this roster resolve to a scored provider in
the catalog.
Coverage caveat. 24 of 30 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. 24 of 30 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.