Gravel AI website screenshot

Gravel AI

Gravel AI is a beauty and personal care market intelligence platform that turns alternative data into early trend, ingredient, brand, and product signals for the global cosmetics industry. It offers a suite of analysis tools — application and ingredient trends, brand and market deep dives, consumer review analysis, new brand and product launch monitoring, ingredient supplier and OEM mapping, and product analyzers — alongside curated datasets, market reports, and an enterprise data/API service that delivers licensed beauty data into customer pipelines (API, Snowflake, S3). Backed by Techstars, Gravel AI serves beauty brands, ingredient and contract manufacturers, and enterprise insights, R&D, procurement, and data teams. Its flagship Gravel Early Trends product positions against incumbents such as Euromonitor, Mintel, NielsenIQ, Circana, WGSN, and Spate.

Gravel AI is profiled on the APIs.io network. Tagged areas include Company, Beauty, Personal Care, Cosmetics, and Market Intelligence.

Gravel AI’s developer surface includes engineering blog, support, signup flow, and 5 more developer resources.

9.3/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyBeautyPersonal CareCosmeticsMarket IntelligenceTrend ForecastingConsumer InsightsIngredientsDataAnalytics

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/gravel-ai: 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.

Gravel Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: gravel-ai
name: Gravel AI
description: Gravel AI is a beauty and personal care market intelligence platform that turns alternative data into early trend,
  ingredient, brand, and product signals for the global cosmetics industry. It offers a suite of analysis tools — application
  and ingredient trends, brand and market deep dives, consumer review analysis, new brand and product launch monitoring, ingredient
  supplier and OEM mapping, and product analyzers — alongside curated datasets, market reports, and an enterprise data/API
  service that delivers licensed beauty data into customer pipelines (API, Snowflake, S3). Backed by Techstars, Gravel AI
  serves beauty brands, ingredient and contract manufacturers, and enterprise insights, R&D, procurement, and data teams.
  Its flagship Gravel Early Trends product positions against incumbents such as Euromonitor, Mintel, NielsenIQ, Circana, WGSN,
  and Spate.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  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://gravelai.com/gravel-icon.png
url: https://raw.githubusercontent.com/api-evangelist/gravel-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Beauty
- Personal Care
- Cosmetics
- Market Intelligence
- Trend Forecasting
- Consumer Insights
- Ingredients
- Data
- Analytics
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/gravel-ai-domain-security.yml
- type: Website
  url: https://gravelai.com/
- type: Blog
  url: https://gravelai.com/blog
- type: Support
  url: https://gravelai.com/contact
- type: SignUp
  url: https://app.gravelai.com/login
- type: TermsOfService
  url: https://gravelai.com/terms-of-service
- type: PrivacyPolicy
  url: https://gravelai.com/privacy-policy
- type: LLMsTxt
  url: llms/gravel-ai-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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