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.

🌐 Visit website 📡 Source on GitHub

8.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs

Company Trust and Safety Content ModerationAnti-AbuseFraud Detection Machine-Learning Risk Intelligence

Kin Score

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

Composite quality — 8.2/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Access Clarity 0.0 / 20

Operational Transparency 1.4 / 13

Contract Governance 0.0 / 12

Discoverability 6.9 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

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/intrinsic: 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 →

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

DeveloperPortal

DeveloperPortal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Access & Security 4

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: intrinsic
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:
  - url: https://withintrinsic.com
    status: 301
    note: declared website redirects to https://www.variance.com/ — a different registrable domain (withintrinsic.com -> variance.com),
      possible rename or acquisition (probed 2026-09-03, roadmap#169)
  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: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Trust and Safety
- Content Moderation
- Anti-Abuse
- Fraud Detection
- Machine-Learning
- Risk Intelligence
tags_raw:
- 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

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