# Orolabs

**Canonical:** https://apis.io/providers/orolabs/  
**Website:** https://orolabs.ai  
**APIs profiled:** 0

ORO Labs provides an agentic procurement orchestration platform for enterprise spend management. It coordinates people, processes, systems, and data so employees can get what they need without friction, unifying intake management, supplier onboarding and lifecycle, risk and compliance orchestration, and AI-driven workflow automation. The platform offers a no-code workflow builder, a purpose-built agent builder for custom procurement AI agents, and bring-your-own-LLM flexibility, with secure, semantically rich integrations across the procuretech landscape. ORO Labs is backed by Felicis and Norwest Venture Partners.

## Kin Score — 18.0 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 18.0).

| Facet | Score |
|---|---|
| Discoverability | 61.1 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 50.0 |
| Access Clarity | 50.0 |

## Agent readiness — 2.6 (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 | yes |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (3)

- **Orolabs Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Orolabs Vulnerability Disclosure** — Bugcrowd · security.txt · contact published
- **Orolabs Trust Center** — SOC 1 Type 2, SOC 2 Type 2, ISO/IEC 27001:2022, ISO/IEC 42001:2023

## Tags

Company, Procurement, Spend Management, Supplier Management, Agentic AI, Workflow-Automation, Enterprise Software, ProcureTech

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