Beesafe Ai

Beesafe AI is a fraud-prevention and anti-scam platform whose tagline is "Stopping Scams Before They Reach Your Customers." Its AI-powered anti-scam agents proactively engage scammers to uncover the fraudulent accounts, money-mule networks, and criminal financial infrastructure behind trust-based scams such as romance scams, pig-butchering, and investment fraud, which bypass traditional detection by convincing victims to authorize transactions themselves. Beesafe serves financial-services firms, cryptocurrency companies, telecommunications providers, and government agencies. It was founded by AI and security PhDs from Carnegie Mellon and UC San Diego and is backed by Y Combinator, Obvious Ventures, and SBIR/STTR funding. The platform is currently in early access with no public self-service API, developer documentation, or pricing published.

Beesafe Ai is profiled on the APIs.io network. Tagged areas include Company, Fraud Prevention, Anti-Scam, Fraud Detection, and Security.

Beesafe Ai’s developer surface includes support and 4 more developer resources.

🌐 Visit website 📡 Source on GitHub

9.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyFraud PreventionAnti-ScamFraud DetectionSecurityArtificial IntelligenceFinancial Services

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 9.7/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.9 / 20

Commercial Clarity 2.1 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/beesafe-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: beesafe-ai
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/beesafe-ai.png
name: Beesafe Ai
description: Beesafe AI is a fraud-prevention and anti-scam platform whose tagline is "Stopping Scams Before They Reach Your
  Customers." Its AI-powered anti-scam agents proactively engage scammers to uncover the fraudulent accounts, money-mule networks,
  and criminal financial infrastructure behind trust-based scams such as romance scams, pig-butchering, and investment fraud,
  which bypass traditional detection by convincing victims to authorize transactions themselves. Beesafe serves financial-services
  firms, cryptocurrency companies, telecommunications providers, and government agencies. It was founded by AI and security
  PhDs from Carnegie Mellon and UC San Diego and is backed by Y Combinator, Obvious Ventures, and SBIR/STTR funding. The platform
  is currently in early access with no public self-service API, developer documentation, or pricing published.
url: https://raw.githubusercontent.com/api-evangelist/beesafe-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
- obvious-ventures
- sbir-sttr
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Fraud Prevention
- Anti-Scam
- Fraud Detection
- Security
- Artificial Intelligence
- Financial Services
apis: []
common:
- type: DomainSecurity
  url: security/beesafe-ai-domain-security.yml
- type: Website
  url: https://beesafe.ai
- type: PrivacyPolicy
  url: https://beesafe.ai/privacy
- type: Support
  url: mailto:founders@beesafe.ai
- type: LLMsTxt
  url: llms/beesafe-ai-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence