Daash

DAASH is an AI-powered predictive commerce intelligence platform built specifically for the beauty and cosmetics industry. It combines consumer shopping panels covering 6M+ people with social and advertising trend data and enriched product attributes to estimate sales performance, market share, and emerging trends at the SKU level. DAASH delivers weekly competitive intelligence to beauty brands, manufacturers, and financial services firms so they can uncover category shifts, benchmark competitor performance, and spot growth opportunities. The company was founded at the intersection of predictive intelligence and consumer products by retail and data experts (Philip Smolin, CEO; Justin Stewart, CTO; Melissa Munnerlyn, CMO), and is a portfolio company of Bullpen Capital. DAASH is delivered as a hosted SaaS application (my.daash.co); it currently exposes no public developer API surface.

Daash is profiled on the APIs.io network. Tagged areas include Company, Competitive Intelligence, Market Intelligence, Beauty, and Cosmetics.

Daash’s developer surface includes support and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

12.4/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyCompetitive IntelligenceMarket IntelligenceBeautyCosmeticsConsumer ProductsRetail AnalyticsPredictive AnalyticsSaaS

Kin Score

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

Composite quality — 12.4/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.9 / 20

Commercial Clarity 4.7 / 20

Operational Transparency 0.0 / 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/daash: 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

Login

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

LinkedIn

Source (apis.yml)

aid: daash
name: Daash
description: DAASH is an AI-powered predictive commerce intelligence platform built specifically for the beauty and cosmetics
  industry. It combines consumer shopping panels covering 6M+ people with social and advertising trend data and enriched product
  attributes to estimate sales performance, market share, and emerging trends at the SKU level. DAASH delivers weekly competitive
  intelligence to beauty brands, manufacturers, and financial services firms so they can uncover category shifts, benchmark
  competitor performance, and spot growth opportunities. The company was founded at the intersection of predictive intelligence
  and consumer products by retail and data experts (Philip Smolin, CEO; Justin Stewart, CTO; Melissa Munnerlyn, CMO), and
  is a portfolio company of Bullpen Capital. DAASH is delivered as a hosted SaaS application (my.daash.co); it currently exposes
  no public developer API surface.
url: https://raw.githubusercontent.com/api-evangelist/daash/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bullpen-capital
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
image: https://cdn.prod.website-files.com/66109b23edef07cc0cd19202/663cc81602539dc4e69fac78_Daash-Logo-Digital-Black.svg
tags:
- Company
- Competitive Intelligence
- Market Intelligence
- Beauty
- Cosmetics
- Consumer Products
- Retail Analytics
- Predictive Analytics
- SaaS
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://daash.co
- type: Login
  url: https://my.daash.co/
- type: Support
  url: https://daash.co/contact
- type: TermsOfService
  url: https://daash.co/subscribe/tc
- type: LinkedIn
  url: https://www.linkedin.com/company/daash-intelligence/
- type: DomainSecurity
  url: security/daash-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence