Incandor

Incandor is a San Francisco based Y Combinator (Spring 2026) startup building behavioral intelligence infrastructure for fraud and abuse detection. Rather than relying on identity verification at account creation, Incandor constructs a behavioral map of every user on a platform from how they physically interact with an app or website — mouse dynamics, keystroke timing, scroll patterns, and on mobile how a device is held. It requires no fraud labels and no enrollment period, working from the first session. At the individual level it identifies account takeovers with greater than 99 percent accuracy; at the population level it separates out coordinated fraud rings, mule operators, shared operators, bots and agents, and coerced or duress sessions. Incandor is delivered as a programmable API and a client-side telemetry SDK rather than a black-box risk score, letting fraud teams combine behavioral signals with their own transaction history, customer records, and business rules. It collects only behavioral signals — not what users type, read, or view — keeping user data private by design. The company was founded by Matthew Yekell (CEO) and Luc Rosenzweig (CTO), both Stanford CS graduates. This profile is maintained by the API Evangelist network; the developer platform is currently early access.

Incandor is profiled on the APIs.io network. Tagged areas include Company, Fraud Prevention, Anti-Fraud, Behavioral Biometrics, and Account Takeover.

Incandor’s developer surface includes support and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub

8.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyFraud PreventionAnti-FraudBehavioral BiometricsAccount TakeoverSecurityFintechMachine Learning

Kin Score

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

Composite quality — 8.3/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.9 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.7 / 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/incandor: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: incandor
name: Incandor
description: Incandor is a San Francisco based Y Combinator (Spring 2026) startup building behavioral intelligence infrastructure
  for fraud and abuse detection. Rather than relying on identity verification at account creation, Incandor constructs a behavioral
  map of every user on a platform from how they physically interact with an app or website — mouse dynamics, keystroke timing,
  scroll patterns, and on mobile how a device is held. It requires no fraud labels and no enrollment period, working from
  the first session. At the individual level it identifies account takeovers with greater than 99 percent accuracy; at the
  population level it separates out coordinated fraud rings, mule operators, shared operators, bots and agents, and coerced
  or duress sessions. Incandor is delivered as a programmable API and a client-side telemetry SDK rather than a black-box
  risk score, letting fraud teams combine behavioral signals with their own transaction history, customer records, and business
  rules. It collects only behavioral signals — not what users type, read, or view — keeping user data private by design. The
  company was founded by Matthew Yekell (CEO) and Luc Rosenzweig (CTO), both Stanford CS graduates. This profile is maintained
  by the API Evangelist network; the developer platform is currently early access.
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.incandor.com/logo.png
url: https://raw.githubusercontent.com/api-evangelist/incandor/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-founders:
- FN: Matthew Yekell
  role: CEO
- FN: Luc Rosenzweig
  role: CTO
x-yc-batch: Spring 2026
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Fraud Prevention
- Anti-Fraud
- Behavioral Biometrics
- Account Takeover
- Security
- Fintech
- Machine Learning
apis: []
common:
- type: DomainSecurity
  url: security/incandor-domain-security.yml
- type: Website
  url: https://www.incandor.com
- type: GitHubOrganization
  url: https://github.com/incandor
- type: Support
  url: mailto:info@incandor.com
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