# Syrup

**Canonical:** https://apis.io/providers/syrup/  
**Website:** https://syrup.tech/  
**APIs profiled:** 0

Syrup (Syrup Tech) is an AI-powered inventory optimization and demand-forecasting platform for retail and apparel brands. Its machine-learning decision-support engine combines transactional, marketing, and inventory data with external signals such as social trends and weather to recommend how brands produce, buy, and allocate inventory across omnichannel commerce, reducing stockouts and overproduction. Founded in 2021 by James Theuerkauf and Ferdinand Stockmann, Syrup raised a $17.5M Series A led by Accel and was acquired by Anaplan in September 2025; syrup.tech now redirects to anaplan.com. Syrup exposes no public developer API surface.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 5.0).

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

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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).

## Tags

Company, Ai, Retail, Inventory, Demand Forecasting, Machine Learning, Apparel, Supply Chain, Ecommerce

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