Causely vs IncidentFox
Causely
causely.ai
IncidentFox
incidentfox.aiSide by side
| Figure | Causely | IncidentFox |
|---|---|---|
| Price from | $2,000/mo | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · AIOps Platforms | 8.5 (#3) | 7.6 (#10) |
| Deployment | The documentation lists Kubernetes, Docker, and other environments for deploying the mediator; the maker also describes hybrid SaaS and bring-your-own-cloud options. | Deployment options are hosted SaaS, on-premises or VPC, and self-hosted open core. |
| Integrations | The supported technologies page lists 73 technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. | The site lists Slack, PagerDuty, AWS, Datadog, Prometheus, Grafana, GitHub, Coralogix, Kubernetes, Elasticsearch, Splunk, Sentry, Jira, Linear, GitLab, OpsGenie, New Relic, PostgreSQL, MySQL, and Confluence, and says it works with 40+ integrations. |
| Purpose | Causely gives operations agents causal context from a live model of a system so they can diagnose issues and act proactively. | IncidentFox is an AI-powered incident investigation agent that operates via Slack. |
| Support | The Professional plan includes a dedicated Slack or Teams channel for ad-hoc help with best-effort response times. | Email support is available without login with a stated response time of within 2 business days, plus Slack community support. |
Plans
In their own words
Causely
Causely gives operations agents a live causal model of a system to help diagnose incidents and act proactively. Its causal inference identifies upstream causes behind cascading symptoms and is described as deterministic and explainable. Agents can traverse the causal graph to assess blast radius and compare behavior before and after deployments; they connect to the model through MCP. Causely ingests traces, metrics, logs, and alerts from existing observability tools, with OpenTelemetry, Datadog, and Prometheus named as examples. Its supported technologies include agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. Deployment options include Kubernetes, Docker, hybrid SaaS, and bring-your-own-cloud. Causely says raw source data remains in the customer environment while distilled symptom state goes to its SaaS backend. BYOC can keep the entire application in the customer environment, including in air-gapped deployments. Professional Edition is $2,000 a month and covers up to 500 services, with 30 days of data retention and standard hybrid deployment. Enterprise pricing is custom.
IncidentFox
IncidentFox is an incident investigation agent that operates through Slack, where teams can ask questions or share screenshots and files. It analyzes logs, metrics, and system data from connected observability tools, and searches Slack history for relevant discussions. Its responses can include charts, scripts, and reports in Slack threads; it also provides recommendations and can generate postmortems and documentation. The site lists 40+ integrations, including PagerDuty, AWS, Datadog, Prometheus, Grafana, GitHub, Kubernetes, Jira, and Confluence. Deployment options are hosted SaaS, on-premises or VPC, and self-hosted open core. Each investigation runs in an isolated container with a temporary filesystem. Sensitive data is redacted before it reaches the LLM, and API keys pass through a secure proxy. Write actions require human approval and include audit trails and rollback support. IncidentFox requires a Slack workspace, and installation requires a workspace administrator. Its full-feature trial is listed at free for 7 days.