# subpay-ai

**Canonical:** https://apis.io/providers/subpay-ai/  
**Website:** https://subpay.ai/  
**APIs profiled:** 1

Subpay AI is a fintech company focused on providing AI-driven payment solutions for businesses and consumers. Leveraging advanced machine learning algorithms, Subpay AI streamlines transaction processing, fraud detection, and financial analytics. The platform offers APIs for payment initiation, settlement, and reporting, enabling seamless integration with e‑commerce, SaaS, and mobile applications. Subpay AI emphasizes security, compliance, and scalability, aiming to reduce operational costs and improve user experience across the payment ecosystem.

## Kin Score — 14.7 / 100 (emerging)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 65.0 |
| Contract Quality | 0.0 |
| Contract Governance | 4.5 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Access Clarity | 34.2 |

Regulatory layer — **Payments**: 15.8 (matched via tags).

## Agent readiness — 3.5 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **Subpay Document Reading API** — Document Reading API for Developers – reads construction pay applications and change orders from PDF to JSON.

## MCP servers (1)

- **subpay-ai MCP Server** — Remote MCP server at subpay.ai.

## Security (1)

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

## Tags

Fintech, Payments, AI, Machine-Learning, API

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