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Black Duck Software website screenshot

Black Duck Software

Black Duck Software is an independent application security company (formerly the Synopsys Software Integrity Group, spun out in October 2024 and backed by Clearlake Capital and Francisco Partners). Its portfolio spans Software Composition Analysis (Black Duck SCA), static analysis (Coverity), dynamic and interactive testing, fuzzing, and the Polaris SaaS platform, helping organizations find and fix open-source, license, and security risk across the SDLC. Black Duck exposes a versioned REST API (custom media types, bearer-token / API-token auth, HAL-style hypermedia), native CI/CD plug-ins, the Detect command-line scanner, webhooks, and an official MCP server (Black Duck Signal) for AI coding assistants.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Black Duck Software the way a machine reads it — 5 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 — Black Duck Software scores 36.1/100 (thin), with a separate agent-readiness read of 25/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 36.1/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 14.8 / 20
Commercial Clarity 7.4 / 20
Operational Transparency 7.2 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 25/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Black Duck Software

Each block below is one kind of artifact we hold for Black Duck Software. 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.

Security 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.

Black Duck Software Authentication

apiKey/http · 2 schemes

SECURITY

Black Duck Software Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Black Duck Software Trust Center

SOC 2 Type 2, SOC 3 Type 2, ISO 27001, ISO 27017, ISO 26262, CSA STAR (Self-Assessment / CAIQ), TISAX Level 2, TX-RAMP Level 2

SECURITY

Resources

Every other property we hold for Black Duck Software — 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 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 4

SDKs, sample code, and the tooling you integrate with

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/black-duck-software · machine-readable index on apis.io