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Nine Fives

Nine Fives builds modern, simple-to-use RF (radio frequency) test equipment for next-generation spacecraft, drones, and cellphones. Founded in 2025 by Andrew Kurtz and Noah Levy — RF hardware engineers who spent a decade at SpaceX designing radios and test systems for Falcon 9, Dragon, and Starship — the Y Combinator-backed company sells programmable, network-connected instruments: the POE-ATTEN-6G programmable attenuator and the POE-SWITCH-6G programmable SPDT switch, powered over USB-C or Power over Ethernet. Each instrument is automation-first: it serves a JSON REST API and a SCPI command interface (raw TCP and HiSLIP/IVI-6.1) directly on the device, plus a browser Web UI and touchscreen, with no drivers to install — control it with a plain curl command. The NineVue platform adds version-controlled test-rack configuration and an LLM skill that turns a rack drawing into functional test-automation code.

agent ready

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 Nine Fives the way a machine reads it — 8 machine-readable artifacts across 5 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 — Nine Fives scores 40.6/100 (thin), with a separate agent-readiness read of 55/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 40.6/100 · thin
Contract Quality 12.4 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 4.7 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 55/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Nine Fives

Each block below is one kind of artifact we hold for Nine Fives. 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 5

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.

Nine Fives Attenuator API

Attenuation setpoint control

Nine Fives Firmware API

Firmware status and dual-slot (A/B) updates

Nine Fives Network API

Ethernet and USB-C interface configuration

Nine Fives Switch API

SPDT switch state control

Nine Fives System API

Device status and reboot

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.

nine-fives-mcp.yml

MCP SERVER

Security 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.

Nine Fives Authentication

none · 0 schemes

SECURITY

Nine Fives Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Nine Fives — 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 4

MCP servers, agent skills, and machine-readable catalogs

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

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