Runsybil
RunSybil is an AI-native autonomous offensive security platform. Sybil — a system of AI agents — continuously penetration tests live applications and infrastructure, finding, exploiting, and validating real vulnerabilities without a human in the loop. It tests live applications black-box by default (no source code required), integrates with GitHub and GitLab to trigger targeted change testing on every code push, and validates every finding through a multi-agent pipeline before it surfaces, aiming to eliminate triage and false positives. RunSybil positions as a replacement for point-in-time penetration testing, legacy DAST/SAST scanners, and bug bounty programs, and also offers white-box testing for deeper codebase exploration. Founded in 2023 by Ari Herbert-Voss (OpenAI's first security hire) and Vlad Ionescu (Offensive Security Tech Lead at Meta), the company raised $40M led by Khosla Ventures and is trusted by security teams at Notion, Cursor, Turbopuffer, Baseten, and Thinking Machines Lab. No public developer API, SDK, or API documentation surface is published at this time.
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 Runsybil the way a machine reads it — 1 machine-readable artifact, 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 — Runsybil scores 14.2/100 (minimal), with a separate agent-readiness read of 0/100 (human only). 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 Runsybil
Each block below is one kind of artifact we hold for Runsybil. 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.
Security Posture 1
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 Runsybil — 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 1
Portal, sign-up, and the first successful call
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/runsybil · machine-readable index on apis.io