Cabal
Cabal is an AI-powered relationship-intelligence and warm-introduction platform that turns an organization's professional relationships into warm introductions. It infers connections across millions of professional records without CSV uploads or calendar syncs, letting teams "ask who's connected to anyone." Cabal serves VC platform / deal-sourcing teams, sales organizations, and investor-relations and partnerships teams, and ships Cabal Mail for bulk personalized outreach (company updates, LP communications, strategic asks). The relationship graph is queryable through in-app chat, Claude and ChatGPT via the Model Context Protocol (MCP), a Slack bot, or an API. Backed by Craft Ventures. This profile was enriched by the API Evangelist pipeline from Cabal's public surface; the company advertises API and MCP access but does not publish a public OpenAPI spec or open developer reference (both are account-gated).
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Cabal the way a machine reads it — 3 machine-readable artifacts, 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 — Cabal scores 12.4/100 (minimal), with a separate agent-readiness read of 18/100 (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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Cabal
Each block below is one kind of artifact we hold for Cabal. 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.
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.
cabal-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.
Resources
Every other property we hold for Cabal — 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.
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Access & Security 4
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/cabal · machine-readable index on apis.io