Anomaly Detection
Business capabilities this tag reaches
SaaS Platform Operations Management 1
Variants seen in the corpus:
Anomaly DetectionAnomaly detectionanomaly-detection
Providers using this tag (26)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 2 Solid coverage with minor gaps
Developing 13 Usable, with meaningful gaps to close
Thin 6 Limited public surface area
Emerging 2 Early or largely undocumented
APIs with this tag (15)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Strong 1 Solid coverage with minor gaps
Developing 10 Usable, with meaningful gaps to close
Nixtla Anomaly Detection APIThe Anomaly Detection API from Nixtla — 1 operation(s) for anomaly detection.Corelayer APIThe Corelayer v1 REST API (api/v1) provides programmatic access to issues, groups, integrations, events, an...AWS Lookout for MetricsAmazon Lookout for Metrics is a fully managed ML service that automatically detects anomalies in business a...Azure AI Anomaly DetectorAzure AI Anomaly Detector is a managed REST API service that enables monitoring and detection of anomalies ...Datadog Anomaly Monitor APIDatadog's Monitors API supports anomaly detection monitors that identify unusual metric behavior using hist...Elasticsearch Anomaly Detection APIElasticsearch Machine Learning APIs provide a comprehensive suite of anomaly detection capabilities for tim...PyOD (Python Outlier Detection)PyOD is a comprehensive and scalable Python library for detecting outliers/anomalies in multivariate data. ...BigML Anomaly Detection APIDetect anomalies in datasets using Isolation ForestAmazon Billing And Cost Management Anomaly Detection APIDetect and manage cost anomaliesUnravel REST APIREST API for the Unravel data observability platform. Query and collect data from your monitored clusters a...
Thin 4 Limited public surface area
Ternary Anomaly Detection APIManage and query cloud cost anomaliesVictoriaMetrics Anomaly Detection (vmanomaly)Enterprise-only ML-driven anomaly detection. Reads via Prometheus query API, writes anomaly scores back via...Cisco Nexus Dashboard Insights APIAPI for network analytics, telemetry, anomaly detection, and troubleshooting across data center fabrics.Cloudability Anomaly Detection APIThe Anomalies API exposes detected cost anomalies on dimensions such as service, account, and business mapp...
Score breakdown
Frequency
44.6
log-scaled weighted occurrences
Breadth
0.7
spread across providers
Quality lift
43.7
mean composite of providers using it
Cohesion
5.9
strength of nearest seed neighbor
Related tags
Cost Optimization 5 co-occurrences
FinOps 6 co-occurrences
Time Series 5 co-occurrences
Observability 7 co-occurrences
Monitoring 6 co-occurrences
Machine-Learning 11 co-occurrences
Artificial Intelligence 8 co-occurrences
Company 8 co-occurrences
Where this tag comes from
Api tag16
Provider tag19
Openapi tag5
Openapi op tag17
Cohort brief
Auto-generatedThe 26 providers in the APIs.io catalog tagged Anomaly Detection, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
Providers
26
all scored
Mean Kin Score
36.1
+15.4 vs catalog 20.7
Mean Agent Readiness
21.1
+11.4 vs catalog 9.7
Spread
5–53
median 39.8 · σ 14
How the 26 split by band
Exemplar 0Strong 0Developing 13Thin 6Emerging 4Minimal 3
Facet averages, against the whole catalog
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 42 | 17.5 | +24.5 | 26 |
| Access Clarity | 36.7 | 22.3 | +14.4 | 26 |
| Developer Ergonomics | 31.7 | 17.9 | +13.8 | 26 |
| Contract Governance | 16.8 | 6.4 | +10.4 | 26 |
| Discoverability | 70.6 | 60.4 | +10.2 | 26 |
| Operational Transparency | 20.2 | 11.3 | +8.9 | 26 |
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) | 23% | 16% | +7 |
| MCP server (first-party) | 23% | 7% | +16 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 12% | 9% | +3 |
| Security | 100% | 88% | +12 |
| Arazzo workflows | 0% | 2% | -2 |
| Governance rules | 50% | 13% | +37 |
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 Amazon GuardDuty 53
- 2 Nixtla 52.3
- 3 AWS CloudWatch 51.5
- 4 Amazon DevOps Guru 51.4
- 5 Corelayer 49.7
- 6 Lightup 48.9
- 7 Amazon Lookout for Vision 46.5
- 8 Sybilion 46.2
- 9 Amazon Lookout for Metrics 45.7
- 10 BigML 44.9
Top by Agent Readiness
- 1 Sybilion 59.5
- 2 Amazon GuardDuty 37.1
- 3 Amazon DevOps Guru 34.5
- 4 Nixtla 32.4
- 5 AWS CloudWatch 30.6
- 6 Corelayer 29.3
- 7 Datafold 27.3
- 8 Amazon Lookout for Metrics 25.5
- 9 Amazon Lookout for Vision 25.5
- 10 Lightup 24.1
All 26 members of this roster resolve to a scored provider in
the catalog.Generated from the catalog build of
25 August 2026, across 26891
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 tag here is available over the APIs.io API and to AI agents over MCP.