SignalFx
SignalFx is a cloud monitoring and observability platform for modern infrastructure and microservices, founded in 2013 and acquired by Splunk in October 2019. It ingests high-resolution time-series metrics, events, and traces and applies real-time streaming analytics (the SignalFlow computation engine) to power dashboards, charts, detectors, and alerts. The platform is now delivered as Splunk Observability Cloud. SignalFx exposes a realm-based REST API (metadata, detectors, charts, dashboards, integrations, tokens, SLOs) at api.{realm}.signalfx.com, a data-ingest API at ingest.{realm}.signalfx.com, and a SignalFlow streaming API at stream.{realm}.signalfx.com, all authenticated with an X-SF-Token header. First-party client libraries ship for Go, Python, Node.js, Java, and Ruby.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles SignalFx the way a machine reads it — 6 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — SignalFx scores 37.9/100 (thin), with a separate agent-readiness read of 28/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile SignalFx
Each block below is one kind of artifact we hold for SignalFx. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 1
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
SignalFx REST API
The SignalFx REST API manages metadata and configuration objects in Splunk Observability Cloud / SignalFx: metrics and dimension metadata, detectors and alert muting rules, char...
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
signalfx-mcp.yml
MCP SERVERSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Signalfx Trust Center
SOC 2, ISO 27001, ISO 27017, ISO 27018, PCI DSS, HIPAA, FedRAMP, GDPR, CSA STAR
SECURITYResources
Every other property we hold for SignalFx — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 7
Authentication, authorization, and security posture
Scroll within the panel for all 7 ·
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/signalfx · machine-readable index on apis.io