Sift Science

Sift (formerly Sift Science) is a Digital Trust & Safety platform that uses machine learning to help online businesses stop payment fraud, account takeover, fake-account creation, and content abuse in real time. Developers integrate Sift through modern REST APIs (Events, Score, Labels, Decisions, Workflows, and Verification), a client-side JavaScript snippet, and mobile SDKs for iOS and Android. The platform scores users and transactions against a global network of over one trillion annual events, returns risk scores synchronously or asynchronously, and lets teams automate business actions via Decisions and Workflows. Sift is used by 700+ global brands including Hertz, Yelp, and Poshmark.

Sift Science publishes 1 API on the APIs.io network. Tagged areas include Company, Enterprise Saas, Fraud Detection, Fraud Prevention, and Machine Learning.

The Sift Science catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Sift Science’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, signup flow, changelog, and 19 more developer resources.

🌐 Visit website 📡 Source on GitHub

47.0/100 developing ▬ flat Agent 15/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

1 APIs

CompanyEnterprise SaasFraud DetectionFraud PreventionMachine LearningRisk ScoringPaymentsIdentitySecurityDigital Trust And Safety

Kin Score

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

Composite quality — 47.0/100 · developing

Contract Quality 5.7 / 25

Developer Ergonomics 13.0 / 20

Commercial Clarity 10.0 / 20

Operational Transparency 5.8 / 13

Governance 0.0 / 12

Discoverability 9.3 / 10

Agent readiness — 15/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 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/sift-science: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

Lifecycle

Conformance

Components

Webhooks

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 4

Authentication, authorization, and security posture

DomainSecurity

Authentication

Compliance

TrustCenter

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: sift-science
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 13
  pass: local-v1
name: Sift Science
description: Sift (formerly Sift Science) is a Digital Trust & Safety platform that uses machine learning to help online businesses
  stop payment fraud, account takeover, fake-account creation, and content abuse in real time. Developers integrate Sift through
  modern REST APIs (Events, Score, Labels, Decisions, Workflows, and Verification), a client-side JavaScript snippet, and
  mobile SDKs for iOS and Android. The platform scores users and transactions against a global network of over one trillion
  annual events, returns risk scores synchronously or asynchronously, and lets teams automate business actions via Decisions
  and Workflows. Sift is used by 700+ global brands including Hertz, Yelp, and Poshmark.
url: https://raw.githubusercontent.com/api-evangelist/sift-science/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- initialized-capital
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
image: https://sift.com/wp-content/uploads/2026/07/Digital-Fraud-Prevention-Risk-Based-Authentication-Sift.png
tags:
- Company
- Enterprise Saas
- Fraud Detection
- Fraud Prevention
- Machine Learning
- Risk Scoring
- Payments
- Identity
- Security
- Digital Trust And Safety
apis:
- name: Sift API
  description: Sift's REST API for Digital Trust & Safety — send behavioral and transaction Events, request risk Scores, apply
    Decisions and Labels, run Workflows, and verify users. Data is sent as JSON over HTTPS and authenticated with an API key.
  humanURL: https://developers.sift.com/docs/curl/apis-overview
  baseURL: https://api.sift.com/v205
  properties:
  - type: Documentation
    url: https://developers.sift.com/docs/curl/apis-overview
  - type: APIReference
    url: https://developers.sift.com/docs/curl/apis-overview
  - type: Authentication
    url: authentication/sift-science-authentication.yml
  - type: ErrorCatalog
    url: errors/sift-science-error-codes.yml
  - type: Conventions
    url: conventions/sift-science-conventions.yml
  - type: Webhooks
    url: asyncapi/sift-science-webhooks.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/sift-science-domain-security.yml
- type: Website
  url: https://sift.com
- type: DeveloperPortal
  url: https://developers.sift.com/
- type: Documentation
  url: https://developers.sift.com/docs/curl/apis-overview
- type: APIReference
  url: https://developers.sift.com/docs/curl/apis-overview
- type: GettingStarted
  url: https://sift.com/developer-overview/
- type: Support
  url: https://sift.com/community
- type: Blog
  url: https://sift.com/blog/
- type: GitHubOrganization
  url: https://github.com/SiftScience
- type: SignUp
  url: https://console.sift.com
- type: TermsOfService
  url: https://sift.com/legal-and-compliance/tos/
- type: PrivacyPolicy
  url: https://sift.com/legal-and-compliance/service-privacy-notice/
- type: StatusPage
  url: https://status.sift.com
- type: ChangeLog
  url: changelog/sift-science-changelog.yml
- type: Packages
  url: packages/sift-science-packages.yml
- type: SDKs
  url: packages/sift-science-packages.yml
- type: Authentication
  url: authentication/sift-science-authentication.yml
- type: Conventions
  url: conventions/sift-science-conventions.yml
- type: Lifecycle
  url: lifecycle/sift-science-lifecycle.yml
- type: Conformance
  url: conformance/sift-science-conformance.yml
- type: Compliance
  url: https://sift.com/legal-and-compliance/trust-and-safety-security/
- type: TrustCenter
  url: https://sift.com/legal-and-compliance/trust-and-safety-security/
- type: LLMsTxt
  url: llms/sift-science-llms.txt
- type: Sandbox
  url: sandbox/sift-science-sandbox.yml
- type: Components
  url: components/sift-science-components.yml
- type: Webhooks
  url: asyncapi/sift-science-webhooks.yml

Sift Science

Kin Score

APIs 1

Sift API

Event Specifications 1

Sift Science Webhooks

Security Posture 3

Sift Science Authentication

Sift Science Domain Security

Sift Science Trust Center

Resources