Incandor website screenshot

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.

6.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyFraud PreventionAnti-FraudBehavioral BiometricsAccount TakeoverSecurityFintechMachine-Learning

Kin Score

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

Incandor Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
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.
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  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.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: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Fraud Prevention
- Anti-Fraud
- Behavioral Biometrics
- Account Takeover
- Security
- Fintech
- Machine-Learning
tags_raw:
- 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

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