Percolata

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.

Percolata is profiled on the APIs.io network. Tagged areas include Company, Retail, Analytics, Machine Learning, and Predictive Analytics.

Percolata’s developer surface includes support and 6 more developer resources.

🌐 Visit website 📡 Source on GitHub
12.1/100 minimal ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs 1 MCP Servers
CompanyRetailAnalyticsMachine LearningPredictive AnalyticsWorkforce OptimizationMarketing Optimization

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 12.1/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 2.6 / 20
Commercial Clarity 2.1 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 12/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 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/percolata: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

percolata-mcp.yml

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Percolata Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 LLMsTxt
LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

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

PrivacyPolicy
PrivacyPolicy

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: percolata
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/percolata.png
name: Percolata
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/percolata/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
- gv
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Retail
- Analytics
- Machine Learning
- Predictive Analytics
- Workforce Optimization
- Marketing Optimization
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: http://percolata.com
- type: GitHubOrganization
  url: https://github.com/percolata
- type: MCPServer
  url: mcp/percolata-mcp.yml
- type: LLMsTxt
  url: llms/percolata-llms.txt
- type: DomainSecurity
  url: security/percolata-domain-security.yml
- type: Support
  url: https://www.percolata.com/contact-form
- type: PrivacyPolicy
  url: https://www.percolata.com/terms-of-policy
x-enrichment:
  date: '2026-07-20'
  status: nochange
  artifacts_added: 0
  pass: local-v1