Intrinsic website screenshot

Intrinsic

Intrinsic is a unified Trust & Safety platform that gives safety teams a single API and dashboard to detect, investigate, and enforce against abuse across user- and AI-generated content, fraud, and marketplace abuse. The platform surfaces machine-learning classifiers (for example text toxicity and IP trust scoring), account graph lineage for linkage analysis, geo enrichers, and global intelligence signals through a synchronous API, and lets teams author, version, deploy, and monitor real-time anti-abuse rules from a hosted dashboard. Founded in 2022 in San Francisco by Karine Mellata and Michael Lin (previously on Trust & Safety ML and data-engineering infrastructure at Apple and Discord), Intrinsic has since rebranded to Variance (variance.co); the Intrinsic-branded developer surfaces at docs.intrinsicapi.com and api.intrinsicapi.com remain in service.

Intrinsic publishes 1 API on the APIs.io network. Tagged areas include Company, Trust and Safety, Content Moderation, Anti-Abuse, and Fraud Detection.

Intrinsic’s developer surface includes documentation and 7 more developer resources.

14.1/100 minimal ▬ flat Agent 7/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
1 APIs
CompanyTrust and SafetyContent ModerationAnti-AbuseFraud DetectionMachine LearningRisk IntelligenceAPI

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 14.1/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 3.5 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 1.4 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 7/100 · 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 4 / 4
Consent & Bot Identity 3 / 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/intrinsic: 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.

Intrinsic API

Unified Trust & Safety API exposing ML classifiers, enrichments, account graph lineage, and real-time rule evaluation for anti-abuse workflows. Access is gated behind an issued ...

Security Posture 2

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

Intrinsic Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Intrinsic Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 4

Authentication, authorization, and security posture

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: intrinsic
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/intrinsic.png
name: Intrinsic
description: Intrinsic is a unified Trust & Safety platform that gives safety teams a single API and dashboard to detect,
  investigate, and enforce against abuse across user- and AI-generated content, fraud, and marketplace abuse. The platform
  surfaces machine-learning classifiers (for example text toxicity and IP trust scoring), account graph lineage for linkage
  analysis, geo enrichers, and global intelligence signals through a synchronous API, and lets teams author, version, deploy,
  and monitor real-time anti-abuse rules from a hosted dashboard. Founded in 2022 in San Francisco by Karine Mellata and Michael
  Lin (previously on Trust & Safety ML and data-engineering infrastructure at Apple and Discord), Intrinsic has since rebranded
  to Variance (variance.co); the Intrinsic-branded developer surfaces at docs.intrinsicapi.com and api.intrinsicapi.com remain
  in service.
url: https://raw.githubusercontent.com/api-evangelist/intrinsic/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
x-tier: stub
x-tier-reason: portfolio-lead
x-rebranded-to: Variance
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Trust and Safety
- Content Moderation
- Anti-Abuse
- Fraud Detection
- Machine Learning
- Risk Intelligence
- API
apis:
- name: Intrinsic API
  description: Unified Trust & Safety API exposing ML classifiers, enrichments, account graph lineage, and real-time rule
    evaluation for anti-abuse workflows. Access is gated behind an issued API key; developer documentation requires a request-access
    code.
  humanURL: https://docs.intrinsicapi.com/
  baseURL: https://api.intrinsicapi.com
  properties:
  - type: Documentation
    url: https://docs.intrinsicapi.com/
  - type: GettingStarted
    url: https://docs.intrinsicapi.com/getting-started/welcome
common:
- type: Website
  url: https://withintrinsic.com
- type: DeveloperPortal
  url: https://docs.intrinsicapi.com/
- type: Documentation
  url: https://docs.intrinsicapi.com/
- type: SecurityTxt
  url: well-known/intrinsic-security.txt
- type: WellKnown
  url: well-known/intrinsic-well-known.yml
- type: VulnerabilityDisclosure
  url: security/intrinsic-vulnerability-disclosure.yml
- type: Security
  url: security/intrinsic-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/intrinsic-domain-security.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