Ranger AI

Ranger AI, operating as Ranger RFX Inc., provides an AI‑powered intelligence layer for industrial engineering. It helps organizations automate RFP responses, evaluate tenders, and review contracts by extracting answers from technical documents and citing sources. The platform targets procurement automation, engineering document analysis, and enterprise AI applications, delivering accurate, citation‑backed insights to streamline decision‑making in industrial contexts.

Ranger AI is profiled on the APIs.io network. Tagged areas include Company, AI, Industrial Engineering, Procurement, and Document Automation.

Ranger AI’s developer surface includes engineering blog and 11 more developer resources.

🌐 Visit website📡 Profile data on GitHub
15.2/100 emerging Agent 3/100 human only Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →
0 APIs
CompanyAIIndustrial EngineeringProcurementDocument Automation

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
Composite quality — 15.2/100 · emerging
Contract Quality 0.0 / 21
Developer Ergonomics 0.4 / 17
Access Clarity 6.3 / 17
Operational Transparency 1.2 / 11
Contract Governance 0.0 / 10
Discoverability 4.1 / 9
Regulatory Posture 3.4 / 15
Agent readiness — 3/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 12 / 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 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Pagination 5 / 5
Distinct Operations 3 / 3
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/.
Show this score on your site. Kin Score badge preview for Ranger AI It updates itself when the score changes. Paste this where you link to your API docs: 
<a href="https://apis.io/providers/ranger-ai/"><img src="https://apis.io/badge/ranger-ai/card.svg" alt="Ranger AI on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
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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
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • 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)
  • 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)
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
12 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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.
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/ranger-ai/apis.yml: open an issue on github.com/api-evangelist/ranger-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 →

Security Posture 3

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

Ranger Ai Domain Security

TLSv1.3 · HSTS

SECURITY

Ranger Ai Vulnerability Disclosure

no policy recorded

SECURITY

Ranger Ai Trust Center

SOC 2, ISO 27001, GDPR

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Access & Security 5

Authentication, authorization, and security posture

Compliance
Compliance
 Security
Security
 TrustCenter
TrustCenter
 VulnerabilityDisclosure
VulnerabilityDisclosure
 DomainSecurity
DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Blog
Blog
 Website
Website

Other 2

Properties that don't map to a standard resource type

Hosts
Hosts
 Vendors
Vendors

Source (apis.yml)

apis.yml Raw ↑ 
aid: ranger-ai
name: Ranger AI
image: https://www.rangerx.ai/opengraph-image?06853850e504d81d
description: Ranger AI, operating as Ranger RFX Inc., provides an AI‑powered intelligence layer for industrial engineering.
  It helps organizations automate RFP responses, evaluate tenders, and review contracts by extracting answers from technical
  documents and citing sources. The platform targets procurement automation, engineering document analysis, and enterprise
  AI applications, delivering accurate, citation‑backed insights to streamline decision‑making in industrial contexts.
url: https://raw.githubusercontent.com/api-evangelist/ranger-ai/refs/heads/main/apis.yml
x-type: company
x-source: harvest:vc-portfolio
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-22 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-21'
modified: '2026-10-21'
tags:
- Company
- AI
- Industrial Engineering
- Procurement
- Document Automation
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Compliance
  url: https://www.rangerx.ai/security
- type: LLMsTxt
  url: llms/ranger-ai-llms.txt
- type: Hosts
  url: hosts/ranger-ai-hosts.yml
- type: Vendors
  url: vendors/ranger-ai-vendors.yml
- type: TermsOfService
  url: https://www.rangerx.ai/terms
- type: Security
  url: https://www.rangerx.ai/security
- type: PrivacyPolicy
  url: https://www.rangerx.ai/privacy
- type: Blog
  url: https://www.rangerx.ai/blog
- type: TrustCenter
  url: security/ranger-ai-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/ranger-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/ranger-ai-domain-security.yml
- type: Website
  url: https://rangerx.ai
apis: []
x-backed-by:
- bonfire-ventures
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Homepage loads a JavaScript‑rendered single‑page app with no machine‑readable spec.
  evidence:
  - url: https://www.rangerx.ai
    status: 200
  checked: '2026-10-22'
x-enrichment:
  date: '2026-10-22'
  status: enriched
  artifacts_added: 14
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

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