Signal AI
Signal AI (Signal Media Ltd) is an AI-powered reputation and risk intelligence platform that turns the world's largest real-time dataset of global news, social, broadcast and regulatory content into actionable insight. Its proprietary AIQ framework understands, enriches and surfaces relevant coverage across 226 markets and 120+ languages, ingesting 5.5M+ articles and labelling 100M+ entities and topics daily. The Signal AI API is an HTTP+JSON API offering programmatic access to the platform via Content Search, Content Metrics, Affinity (the Signal AI Knowledge Graph), Events, and Risk Events endpoints, secured with OAuth2 client-credentials.
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 Signal AI the way a machine reads it — 14 machine-readable artifacts across 10 APIs, 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 — Signal AI scores 42.9/100 (thin), with a separate agent-readiness read of 47/100 (agent ready). 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Signal AI
Each block below is one kind of artifact we hold for Signal AI. 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 10
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.
Signal AI Affinity API
The Affinity API endpoints allow API users to leverage the power of the Signal AI Knowledge Graph, derived from billions of documents and updated regularly. The Signal AI Knowle...
Signal AI Categories API
The Categories API from Signal AI — 2 operation(s) for categories.
Signal AI Content Metrics API
The Content Metrics API from Signal AI — 1 operation(s) for content metrics.
Signal AI Content Search API
The Content Search API from Signal AI — 2 operation(s) for content search.
Signal AI Entities API
The Entities API from Signal AI — 2 operation(s) for entities.
Signal AI Events API
The Events API endpoint identifies significant clusters of news coverage about entities and topics of interest, allowing users to easily identify news events that could impact t...
Signal AI Openapi.json API
The Openapi.json API from Signal AI — 1 operation(s) for openapi.json.
Signal AI Publication sources API
The Publication sources API from Signal AI — 3 operation(s) for publication sources.
Signal AI Risk Events API
The Risk Events API from Signal AI — 3 operation(s) for risk events.
Signal AI Topics API
The Topics API from Signal AI — 2 operation(s) for topics.
Scroll within the panel for all 10 ·
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.
signal-ai-mcp.yml
MCP SERVERSecurity Posture 2
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.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Resources
Every other property we hold for Signal AI — 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 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/signal-ai · machine-readable index on apis.io