# Daash

**Canonical:** https://apis.io/providers/daash/  
**Website:** https://daash.co  
**APIs profiled:** 0

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.

## Kin Score — 9.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 9.4).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 17.1 |
| Access Clarity | 17.1 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Daash Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Competitive Intelligence, Market Intelligence, Beauty, Cosmetics, Consumer Products, Retail Analytics, Predictive Analytics, Software-as-a-Service

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/daash/). Scores are computed from the provider's own public artifacts under a published rubric.