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Black Duck

Black Duck Software (formerly the Synopsys Software Integrity Group) is an application security company whose platform spans software composition analysis (SCA), static application security testing (SAST), dynamic application security testing (DAST), interactive application security testing (IAST), and open-source license and vulnerability management. Its API-first products — Black Duck SCA (Hub), Polaris, Coverity, and Seeker — expose REST APIs, webhooks, native CI/CD plug-ins, and the Detect command-line scanner so teams can automate open-source discovery, policy enforcement, and risk remediation across build pipelines such as Jenkins, GitHub Actions, GitLab CI, and Azure DevOps. Each Black Duck server publishes its own OpenAPI 3 document and Postman collection at /api-doc, and first-party Python and Go client libraries plus the Detect CLI wrap the API surface. This profile was seeded as a general-catalyst portfolio lead and enriched by the API Evangelist pipeline.

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 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 — Black Duck scores 42.3/100 (thin), with a separate agent-readiness read of 21/100 (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 — 42.3/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 14.8 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 6.2 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 21/100 · 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 0 / 4
Consent & Bot Identity 0 / 3

How we profile Black Duck

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

Black Duck SCA REST API

REST API for Black Duck SCA (Hub) — projects, versions, components, vulnerabilities, policies, scans, and reports. Each Black Duck server publishes its own OpenAPI 3 document at...

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.

black-duck-mcp.yml

MCP SERVER

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 Authentication

apiKey/http · 2 schemes

SECURITY

Black Duck Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Black Duck Trust Center

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

SECURITY

Resources

Every other property we hold for Black Duck — 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 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Operate 3

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/black-duck · machine-readable index on apis.io