# Saudara Ai

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

Saudara AI is an AI-native sourcing brokerage, founded in 2024 and based in Spokane, Washington, that connects American brands with vetted Indonesian manufacturers. Buyers submit requests for quotes (RFQs) and the company pairs human brokers with AI agents that scan factories, verify certifications, benchmark pricing against market data, and prepare quotes, returning vetted supplier options within 48 hours. Saudara AI also handles quality control, logistics, improved payment terms (30/70 and net-60), and vendor financing. As of its launch the company reports having sourced over $1M for 40+ brands. It operates as a brokerage service and does not publish a public developer API, documentation, or SDKs.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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 (1)

- **Saudara Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Sourcing, Manufacturing, Supply Chain, Procurement, Artificial Intelligence, Indonesia

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