Gangkhar

Gangkhar is an AI-native embedded protection infrastructure platform that lets digital platforms, insurers, MGAs, and brokers configure, launch, and continuously optimize embedded insurance products globally through a single infrastructure layer and API. Its Sherpa+ engine provides full-stack embedded protection rails covering onboarding, pricing, underwriting, and claims across multiple carriers and markets, while Sherpa+Lens applies real-time AI optimization to pricing, messaging, and product versions. The platform enables sectors like mobility, delivery, fintech, e-commerce, travel, health, and vertical SaaS to embed compliant protection directly into their customer experiences without becoming insurers themselves. Founded in 2025 and led by former Chubb executive Federico Spagnoli, Gangkhar closed a $4.25M seed round in March 2026 led by Anthemis. Surfaced as an Anthemis portfolio company and enriched into the API Evangelist network.

Gangkhar is profiled on the APIs.io network. Tagged areas include Company, Insurance, Embedded Insurance, Insurtech, and Embedded Finance.

Gangkhar’s developer surface includes FAQ, support, engineering blog, YouTube channel, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub

7.5/100 minimal ▬ flat Agent 4/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

0 APIs 1 MCP Servers

CompanyInsuranceEmbedded InsuranceInsurtechEmbedded FinanceProtectionArtificial IntelligenceFintechUnderwritingClaims

Kin Score

Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0

Composite quality — 7.5/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 1.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 2.3 / 15

Agent readiness — 4/100 · 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

Regulatory Posture applies to this provider. Its tags matched the Insurance 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.

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/.

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/gangkhar: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

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

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 2

Status, limits, changes, and where to get help

FAQ

FAQ

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

About

About

Blog

Blog

LinkedIn

Source (apis.yml)

aid: gangkhar
name: Gangkhar
description: Gangkhar is an AI-native embedded protection infrastructure platform that lets digital platforms, insurers, MGAs,
  and brokers configure, launch, and continuously optimize embedded insurance products globally through a single infrastructure
  layer and API. Its Sherpa+ engine provides full-stack embedded protection rails covering onboarding, pricing, underwriting,
  and claims across multiple carriers and markets, while Sherpa+Lens applies real-time AI optimization to pricing, messaging,
  and product versions. The platform enables sectors like mobility, delivery, fintech, e-commerce, travel, health, and vertical
  SaaS to embed compliant protection directly into their customer experiences without becoming insurers themselves. Founded
  in 2025 and led by former Chubb executive Federico Spagnoli, Gangkhar closed a $4.25M seed round in March 2026 led by Anthemis.
  Surfaced as an Anthemis portfolio company and enriched into the API Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/gangkhar/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- anthemis
x-tier: stub
x-tier-reason: portfolio-lead
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://static.wixstatic.com/media/84a20e_d1dafb944cb5498bb07972a03101b8cb~mv2.png/v1/fit/w_2500,h_1330,al_c/84a20e_d1dafb944cb5498bb07972a03101b8cb~mv2.png
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Insurance
- Embedded Insurance
- Insurtech
- Embedded Finance
- Protection
- Artificial Intelligence
- Fintech
- Underwriting
- Claims
tags_raw:
- Company
- Insurance
- Embedded Insurance
- InsurTech
- Embedded Finance
- Protection
- AI
- Fintech
- Underwriting
- Claims
apis: []
common:
- type: Website
  url: https://www.gangkhar.com/
- type: About
  url: https://www.gangkhar.com/about-us
- type: FAQ
  url: https://www.gangkhar.com/faq
- type: Support
  url: https://www.gangkhar.com/contact-us
- type: Blog
  url: https://www.gangkhar.com/press-blog
- type: PrivacyPolicy
  url: https://www.gangkhar.com/privacy-policy
- type: LinkedIn
  url: https://www.linkedin.com/company/gangkhar
- type: YouTube
  url: https://www.youtube.com/@GangkharGlobal
- type: LLMsTxt
  url: llms/gangkhar-llms.txt
- type: MCPServer
  url: mcp/gangkhar-mcp.yml
- type: DomainSecurity
  url: security/gangkhar-domain-security.yml
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