Spate
Spate is an AI-powered consumer trend forecasting and market intelligence platform for beauty, wellness, and food and beverage brands. It analyzes hundreds of billions of search signals and hundreds of millions of social posts across TikTok, Instagram, Reddit, and Google to predict emerging trends, benchmark competitors, surface whitespace opportunities, and track viral content and sentiment. Used by 200+ brands including Sephora, L'Oreal, P&G, Unilever, and e.l.f. Beauty across marketing, R&D, sales, and retail teams. Spate operates a live remote Model Context Protocol server at https://api.spate.nyc/mcp that exposes four trend-intelligence tools to AI agents, plus a sales-provisioned Brand Data and Trend Data API sold as a subscription add-on. Neither surface has a published OpenAPI, developer portal, SDK, or self-serve API key: Spate states that API integrations are manually configured by its technical team.
Spate publishes 1 API on the APIs.io network. Tagged areas include Company, Enterprise Saas, Market Intelligence, Trend Forecasting, and Consumer Insights.
Spate’s developer surface includes engineering blog, documentation, pricing, signup flow, authentication, and 26 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Spate API
The Spate API surface is reached at api.spate.nyc. Its only publicly discoverable contract is a remote Model Context Protocol server at https://api.spate.nyc/mcp, which answers ...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
spate-mcp.yml
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Spate Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Spate Rate Limits
RATE LIMITSSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 7
Authentication, authorization, and security posture
Scroll for all 7
Operate 4
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API