# Ridecell

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

Ridecell is an AI-powered asset intelligence and orchestration platform for automotive leasing, fleet, and finance companies. Its five intelligence modules (Client, Spend, Supplier, Asset, and Operational Intelligence) and the "Maya" AI agent monitor fleets, flag invoice overcharges, track garage/supplier performance, optimize vehicle remarketing and residual value, and resolve idle-vehicle inefficiencies. The platform processes 12M+ events daily across 500K+ assets, 100+ connected systems, and 14+ countries. It was surfaced as a portfolio company of Initialized Capital. Ridecell does not currently publish a public developer API, OpenAPI specification, or SDK; this profile captures its public information, security, and compliance surfaces.

## Kin Score — 15.3 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 15.3).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 13.2 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 36.8 |
| Access Clarity | 36.8 |

## 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 (3)

- **Ridecell Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Ridecell Vulnerability Disclosure** — disclosure policy published
- **Ridecell Trust Center** — AICPA SOC for Service Organizations, IBM Cloud for Financial Services Validated

## Tags

Company, Enterprise Saas, Fleet Management, Mobility, Automotive, Artificial Intelligence, Asset Intelligence, Automation

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