Klaimee

Klaimee is a Y Combinator (Spring/P26 batch) startup building certification, financial guarantee, and liability insurance for AI agents running in production. The company evaluates an autonomous agent across risk dimensions such as scope, data exfiltration, unauthorized action, output integrity, adversarial manipulation, behavioral stability, model drift, and operational control, then issues a letter-graded certification report with remediation guidance and a Klaimee-Verified badge that AI vendors use to clear enterprise procurement. Certified agents are backed by a financial guarantee and by AI liability insurance priced against the certification score, covering the gap that traditional errors-and-omissions and cyber policies explicitly exclude — hallucinated outputs, unauthorized actions, data exposure, prompt injection, and wrongful commitments. Klaimee also runs a public adversarial-testing playground where teams can stress-test an agent with probes for prompt injection, jailbreak, decision drift, data leakage, and biased outputs. Klaimee currently sells a human-delivered certification and underwriting service; it publishes no public API, SDK, or developer documentation as of this enrichment pass. Founded in 2026 by Ines Boutemadja (CEO) and Julien Catonnet (CTO), based in San Francisco.

Klaimee is profiled on the APIs.io network. Tagged areas include Company, Insurance, Artificial Intelligence, AI Agents, and Risk Management.

Klaimee’s developer surface includes engineering blog, signup flow, support, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub

7.1/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Insurance Artificial Intelligence AI Agents Risk Management Certification Governance Compliance Insurtech Y Combinator

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 7.1/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 2.2 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 1.4 / 15

Agent readiness — 0/100 · human only

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 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

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.

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/.

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 github.com/api-evangelist/klaimee: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

Klaimee Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Other 1

Properties that don't map to a standard resource type

Profile

Profile

Source (apis.yml)

aid: klaimee
name: Klaimee
description: Klaimee is a Y Combinator (Spring/P26 batch) startup building certification, financial guarantee, and liability
  insurance for AI agents running in production. The company evaluates an autonomous agent across risk dimensions such as
  scope, data exfiltration, unauthorized action, output integrity, adversarial manipulation, behavioral stability, model drift,
  and operational control, then issues a letter-graded certification report with remediation guidance and a Klaimee-Verified
  badge that AI vendors use to clear enterprise procurement. Certified agents are backed by a financial guarantee and by AI
  liability insurance priced against the certification score, covering the gap that traditional errors-and-omissions and cyber
  policies explicitly exclude — hallucinated outputs, unauthorized actions, data exposure, prompt injection, and wrongful
  commitments. Klaimee also runs a public adversarial-testing playground where teams can stress-test an agent with probes
  for prompt injection, jailbreak, decision drift, data leakage, and biased outputs. Klaimee currently sells a human-delivered
  certification and underwriting service; it publishes no public API, SDK, or developer documentation as of this enrichment
  pass. Founded in 2026 by Ines Boutemadja (CEO) and Julien Catonnet (CTO), based in San Francisco.
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
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://www.klaimee.ai/og-image.png
url: https://raw.githubusercontent.com/api-evangelist/klaimee/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
x-api-surface: none
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Insurance
- Artificial Intelligence
- AI Agents
- Risk Management
- Certification
- Governance
- Compliance
- Insurtech
- Y Combinator
apis: []
common:
- type: DomainSecurity
  url: security/klaimee-domain-security.yml
- type: Website
  url: https://www.klaimee.ai/
- type: Blog
  url: https://www.klaimee.ai/blog
- type: SignUp
  url: https://www.klaimee.ai/apply
- type: Support
  url: mailto:contact@klaimee.ai
- type: LinkedIn
  url: https://www.linkedin.com/company/klaimee
- type: Twitter
  url: https://x.com/klaimee_ai
- type: Profile
  name: Y Combinator company profile
  url: https://www.ycombinator.com/companies/klaimee
- type: LLMsTxt
  url: llms/klaimee-llms.txt
- type: WellKnown
  url: well-known/klaimee-well-known.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

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