Grey Ridge Signals Group

Grey Ridge Signals Group is an AI systems architecture and security firm that designs, reviews, and red‑teams AI applications and agentic systems. They offer services such as AI systems architecture reviews, AI red‑team assessments, agentic system security reviews, prompt‑injection defense design, cloud security architecture, and detection‑automation strategy. Their approach combines autonomous offensive research with practical security engineering to ensure AI deployments are robust, trustworthy, and compliant.

Grey Ridge Signals Group is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Security, Architecture, Consulting, and Services.

🌐 Visit website 📡 Profile data on GitHub

8.7/100 minimal Agent 10/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Artificial Intelligence Security Architecture Consulting Services

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 8.7/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 1.0 / 11

Contract Governance 0.5 / 10

Discoverability 6.5 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 10/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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

A2A Agent Card 8 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

10 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 0.0 — up to +20.0 composite points Ask about this →
Access Clarity scores 0.0 — up to +20.0 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/greyridgesignals-ai/apis.yml: open an issue on github.com/api-evangelist/greyridgesignals-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Agent2Agent

measured — observed by APIs.io (conformant)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (documented)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Grey Ridge Signals API

Agent-native pay-per-call data on Base (USDC via x402).

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Grey Ridge Signals Group Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 2

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: greyridgesignals-ai
name: Grey Ridge Signals Group
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://greyridgesignals.ai/og-default.png
description: Grey Ridge Signals Group is an AI systems architecture and security firm that designs, reviews, and red‑teams
  AI applications and agentic systems. They offer services such as AI systems architecture reviews, AI red‑team assessments,
  agentic system security reviews, prompt‑injection defense design, cloud security architecture, and detection‑automation
  strategy. Their approach combines autonomous offensive research with practical security engineering to ensure AI deployments
  are robust, trustworthy, and compliant.
url: https://artifacts.apis.io/greyridgesignals-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-10 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-10'
modified: '2026-11-10'
tags:
- Artificial Intelligence
- Security
- Architecture
- Consulting
- Services
tags_raw:
- AI
- Security
- Architecture
- Consulting
- Services
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Conformance
  url: conformance/greyridgesignals-ai-conformance.yml
- type: LLMsTxt
  url: llms/greyridgesignals-ai-llms.txt
- type: AgentCard
  url: a2a/greyridgesignals-ai-a2a.yml
- type: SecurityTxt
  url: well-known/greyridgesignals-ai-api-security.txt
- type: WellKnown
  url: well-known/greyridgesignals-ai-well-known.yml
- type: Hosts
  url: hosts/greyridgesignals-ai-hosts.yml
- type: Vendors
  url: vendors/greyridgesignals-ai-vendors.yml
- type: DomainSecurity
  url: security/greyridgesignals-ai-domain-security.yml
- type: Website
  url: https://greyridgesignals.ai/
apis:
- name: Grey Ridge Signals API
  description: Agent-native pay-per-call data on Base (USDC via x402).
  humanURL: https://api.greyridgesignals.ai/openapi.json
  baseURL: https://api.greyridgesignals.ai
  aid: greyridgesignals-ai:grey-ridge-signals-api
x-enrichment:
  date: '2026-11-10'
  status: enriched
  artifacts_added: 18
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Grey Ridge Signals Group API — frequently asked questions

Does Grey Ridge Signals Group have an API?

Yes. APIs.io lists 1 API from Grey Ridge Signals Group, including Grey Ridge Signals API.

Is the Grey Ridge Signals Group API ready for AI agents?

Grey Ridge Signals Group has a Kin Score of 8.7 out of 100 (minimal) and an Agent Readiness score of 10.4 (agent-aware), scored by API Evangelist on 2026-11-13.

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get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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