# Percolata

**Canonical:** https://apis.io/providers/percolata/  
**Website:** http://percolata.com  
**APIs profiled:** 0

Percolata is a Palo Alto, California predictive-analytics company that applies machine learning to help retailers optimize labor scheduling and marketing spend. Its platform forecasts hourly sales, in-store traffic, and takeout demand to drive staffing optimization and marketing budget allocation, with published claims of 4x higher forecast accuracy, 10-20% same-store sales lift, and a forecast-accuracy guarantee. Named customers include 7-Eleven, Uniqlo, and Telefonica. The company is backed by Andreessen Horowitz (a16z) and Google Ventures (GV). Percolata does not publish a public developer portal or REST API reference; its retail platform is delivered as a managed product with custom application integration. The percolata.com marketing site is now served by Wix, which provisions a live, first-party Model Context Protocol (MCP) endpoint and an llms.txt for agentic access to public site content.

## Kin Score — 6.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.1).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## 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).

## MCP servers (1)

- **Percolata MCP Server**

## Security (1)

- **Percolata Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Retail, Analytics, Machine-Learning, Predictive Analytics, Workforce Optimization, Marketing Optimization

---

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