Lily AI

Lily AI, Inc. is a retail product-intelligence company whose platform, Lily Max, enriches e-commerce product catalogs so that products are legible to advertising platforms, search engines, onsite search, and AI shopping agents. Agents identify gaps in a retailer's product data, generate consumer-centric attributes and copy, run controlled tests against a holdout, and deploy the winning enrichments across Google Merchant Center feeds, Meta Commerce Manager catalogs, AI discovery and agentic commerce surfaces, and onsite PDP, search, and faceting. Lily AI sells to enterprise retailers, brands, and agencies and positions itself as a layer over the existing commerce stack rather than a replacement for a PIM or feed manager. The company raised a $25M Series B with participation from Canaan Partners, Conductive Ventures, Sorenson Ventures, and NEA. As of this enrichment pass Lily AI publishes no public developer portal, API reference, OpenAPI definition, SDKs, or GitHub organization; the platform is delivered as a managed enterprise service with onboarding handled through sales.

Lily AI is profiled on the APIs.io network. Tagged areas include Company, Retail, E-Commerce, Artificial Intelligence, and Product Data.

Lily AI’s developer surface includes engineering blog, pricing, signup flow, support, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

19.0/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyRetailE-CommerceArtificial IntelligenceProduct DataAdvertisingAgentic CommerceSearchMarketing

Kin Score

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

Composite quality — 19.0/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 8.9 / 20

Operational Transparency 2.1 / 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/lily-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

HelpCenter

HelpCenter

StatusPage

StatusPage

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

Blog

Blog

Press

Press

LinkedIn

Other 1

Properties that don't map to a standard resource type

CaseStudies

CaseStudies

Source (apis.yml)

aid: lily-ai
name: Lily AI
description: Lily AI, Inc. is a retail product-intelligence company whose platform, Lily Max, enriches e-commerce product
  catalogs so that products are legible to advertising platforms, search engines, onsite search, and AI shopping agents. Agents
  identify gaps in a retailer's product data, generate consumer-centric attributes and copy, run controlled tests against
  a holdout, and deploy the winning enrichments across Google Merchant Center feeds, Meta Commerce Manager catalogs, AI discovery
  and agentic commerce surfaces, and onsite PDP, search, and faceting. Lily AI sells to enterprise retailers, brands, and
  agencies and positions itself as a layer over the existing commerce stack rather than a replacement for a PIM or feed manager.
  The company raised a $25M Series B with participation from Canaan Partners, Conductive Ventures, Sorenson Ventures, and
  NEA. As of this enrichment pass Lily AI publishes no public developer portal, API reference, OpenAPI definition, SDKs, or
  GitHub organization; the platform is delivered as a managed enterprise service with onboarding handled through sales.
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://lily.ai/icon.png
url: https://raw.githubusercontent.com/api-evangelist/lily-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- canaan-partners
x-tier: stub
x-tier-reason: no-public-api-surface
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Retail
- E-Commerce
- Artificial Intelligence
- Product Data
- Advertising
- Agentic Commerce
- Search
- Marketing
apis: []
common:
- type: DomainSecurity
  url: security/lily-ai-domain-security.yml
- type: Website
  url: https://lily.ai/
- type: Blog
  url: https://lily.ai/blog
- type: Pricing
  url: https://lily.ai/pricing
- type: SignUp
  url: https://lily.ai/free-trial
- type: TermsOfService
  url: https://lily.ai/terms
- type: PrivacyPolicy
  url: https://lily.ai/privacy
- type: Support
  url: https://lily.ai/contact
- type: HelpCenter
  url: https://lily.ai/faqs
- type: CaseStudies
  url: https://lily.ai/case-studies
- type: Press
  url: https://lily.ai/press
- type: LinkedIn
  url: https://www.linkedin.com/company/lily-ai
- type: LLMsTxt
  url: llms/lily-ai-llms.txt
- type: Lifecycle
  url: lifecycle/lily-ai-lifecycle.yml
- type: StatusPage
  url: https://status.lily.ai/
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