Lightbeam

Lightbeam is an AI data security and guardrails platform that discovers and classifies sensitive data across cloud, SaaS and on-premises systems, ties that data to identity and access context through its Data Identity Graph, and enforces guardrails on how users, applications, copilots and AI agents reach it. Capabilities span AI security and shadow-AI detection, data security posture management (DSPM), data classification, risk scoring, automated remediation, access governance, privacy operations, data retention, breach and ransomware blast-radius reduction, and user entity behavior analytics. Founded by former Nutanix leaders and backed by Vertex Ventures US, 8VC, Village Global, Monta Vista Capital and Dropbox. Lightbeam sells to the enterprise and publishes no public API - its documentation portal is authentication-gated.

Lightbeam is profiled on the APIs.io network. Tagged areas include Company, Security, Data Security, Data Security Posture Management, and Data Classification.

Lightbeam’s developer surface includes engineering blog, support, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

15.5/100 emerging ▬ flat Agent 2/100 human only Front door AI 6/6 dominant Heartbeat 72/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessNo public API

0 APIs 1 MCP Servers

Company Security Data Security Data Security Posture Management Data Classification Privacy Access Governance Artificial Intelligence AI Security Compliance Governance

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 15.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 4.9 / 17

Operational Transparency 1.2 / 11

Contract Governance 0.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 2/100 · 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

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
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 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
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Access Clarity scores 28.9 — up to +14.2 composite points

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/lightbeam-ai/apis.yml: open an issue on github.com/api-evangelist/lightbeam-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 1

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (platform)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Lightbeam MCP Server

Remote MCP server at www.lightbeam.ai over HTTP.

MCP SERVER

Security Posture 3

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

Lightbeam Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Lightbeam Ai Vulnerability Disclosure

Hackerone

SECURITY

Lightbeam Ai Trust Center

trust center published

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Access & Security 3

Authentication, authorization, and security posture

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

VulnerabilityDisclosure

VulnerabilityDisclosure

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: lightbeam-ai
name: Lightbeam
description: Lightbeam is an AI data security and guardrails platform that discovers and classifies sensitive data across
  cloud, SaaS and on-premises systems, ties that data to identity and access context through its Data Identity Graph, and
  enforces guardrails on how users, applications, copilots and AI agents reach it. Capabilities span AI security and shadow-AI
  detection, data security posture management (DSPM), data classification, risk scoring, automated remediation, access governance,
  privacy operations, data retention, breach and ransomware blast-radius reduction, and user entity behavior analytics. Founded
  by former Nutanix leaders and backed by Vertex Ventures US, 8VC, Village Global, Monta Vista Capital and Dropbox. Lightbeam
  sells to the enterprise and publishes no public API - its documentation portal is authentication-gated.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  gated: private
  gated_source:
  - x-api-posture
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.lightbeam.ai/wp-content/uploads/2025/09/lihtbeam-default-og.png
url: https://raw.githubusercontent.com/api-evangelist/lightbeam-ai/refs/heads/main/apis.yml
x-api-posture: no-product-api
x-api-posture-basis: observed
x-api-posture-note: Lightbeam sells to the enterprise and publishes no public API - its documentation portal is authentication-gated.
x-type: company
x-source: vc-portfolio
x-backed-by:
- 8vc
- Vertex Ventures US
- Village Global
- Monta Vista Capital
- Dropbox
x-tier: profiled
x-tier-reason: enriched-no-public-api
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Security
- Data Security
- Data Security Posture Management
- Data Classification
- Privacy
- Access Governance
- Artificial Intelligence
- AI Security
- Compliance
- Governance
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.lightbeam.ai/
- type: Blog
  url: https://www.lightbeam.ai/resources?type=post
- type: Support
  url: https://www.lightbeam.ai/contact/
- type: TermsOfService
  url: https://www.lightbeam.ai/tos/
- type: PrivacyPolicy
  url: https://www.lightbeam.ai/privacy-policy/
- type: TrustCenter
  url: security/lightbeam-ai-trust-center.yml
- type: DomainSecurity
  url: security/lightbeam-ai-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/lightbeam-ai-vulnerability-disclosure.yml
- type: WellKnown
  url: well-known/lightbeam-ai-well-known.yml
- type: LLMsTxt
  url: llms/lightbeam-ai-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Lightbeam API — frequently asked questions

Does Lightbeam have an MCP server?

Yes. APIs.io lists 1 MCP server for Lightbeam: Remote MCP server at www.lightbeam.ai over HTTP.

Is the Lightbeam API ready for AI agents?

Lightbeam has a Kin Score of 15.5 out of 100 (emerging) and an Agent Readiness score of 2.2 (human-only), scored by API Evangelist on 2026-11-06.

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