Quantifind

Quantifind is a financial crimes automation company founded in 2009 by physicists Ari Tuchman and John Stockton to extract meaningful risk signals from large, unstructured datasets. Its flagship SaaS platform, Graphyte, applies machine learning, natural language processing, and entity resolution to anti-money laundering (AML) and know-your-customer (KYC) compliance. Graphyte spans watchlist and sanctions screening, adverse media screening, enhanced due diligence, credit risk, and investigations, and is delivered through GraphyteSearch (an investigation application), GraphyteQueue (an AI-native case manager), GraphyteAPI (a synchronous REST risk-assessment API), and GraphyteBatch (batch screening). Quantifind serves Tier 1 and regional banks, digital banks, Fortune 50 companies, and federal and defense agencies, and integrates with case-management systems such as Oracle FCCM. Backed by a16z.

Quantifind is profiled on the APIs.io network. Tagged areas include Company, Financial Crime, AML, KYC, and Compliance.

Quantifind’s developer surface includes engineering blog, support, and 6 more developer resources.

12.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyFinancial CrimeAMLKYCComplianceRisk IntelligenceSanctions ScreeningAdverse MediaEntity ResolutionMachine Learning

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 12.8/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.7 / 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/quantifind: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Quantifind Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 4

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: quantifind
name: Quantifind
description: Quantifind is a financial crimes automation company founded in 2009 by physicists Ari Tuchman and John Stockton
  to extract meaningful risk signals from large, unstructured datasets. Its flagship SaaS platform, Graphyte, applies machine
  learning, natural language processing, and entity resolution to anti-money laundering (AML) and know-your-customer (KYC)
  compliance. Graphyte spans watchlist and sanctions screening, adverse media screening, enhanced due diligence, credit risk,
  and investigations, and is delivered through GraphyteSearch (an investigation application), GraphyteQueue (an AI-native
  case manager), GraphyteAPI (a synchronous REST risk-assessment API), and GraphyteBatch (batch screening). Quantifind serves
  Tier 1 and regional banks, digital banks, Fortune 50 companies, and federal and defense agencies, and integrates with case-management
  systems such as Oracle FCCM. Backed by a16z.
url: https://raw.githubusercontent.com/api-evangelist/quantifind/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
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
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1
image: https://www.quantifind.com/wp-content/uploads/2024/06/new-embed-preview.jpeg
tags:
- Company
- Financial Crime
- AML
- KYC
- Compliance
- Risk Intelligence
- Sanctions Screening
- Adverse Media
- Entity Resolution
- Machine Learning
apis: []
common:
- type: DomainSecurity
  url: security/quantifind-domain-security.yml
- type: Website
  url: https://www.quantifind.com/
- type: Blog
  url: https://www.quantifind.com/resource-type/blog/
- type: BlogRSS
  url: https://www.quantifind.com/feed/
- type: Login
  url: https://signum.quantifind.com/
- type: Support
  url: https://www.quantifind.com/contact/
- type: PrivacyPolicy
  url: https://www.quantifind.com/privacy-policy/
- type: About
  url: https://www.quantifind.com/about/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io