# Copperlane

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

Copperlane is an AI-native mortgage loan origination platform founded in 2025 by Brianna Lin and Athan Zhang and backed by Y Combinator (W26 batch). Its AI agent, Penny, behaves like a real loan officer: it guides borrowers through intake, pulls and reads borrower documents, verifies loan eligibility in real time, answers borrower questions live, and generates Letters of Explanation, delivering cleaner files to human loan officers so they can focus on closing loans instead of chasing paperwork. The San Francisco company raised a $4.1M seed round to modernize a mortgage origination process that remains largely manual. Copperlane is currently a demo-request business application and does not publish a public developer API, SDK, or developer portal.

## Kin Score — 9.7 / 100 (minimal)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (+0.0 from 9.7).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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)

- **Copperlane Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Mortgage, Lending, Loan Origination, Financial Services, Fintech, Real Estate, Artificial Intelligence, Agents

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