# Modelcode

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

Modelcode AI builds Morph, an AI-powered code modernization platform that transforms legacy software into modern, maintainable codebases. Morph plans, executes, tests, and verifies complex migrations — language upgrades, language translations (COBOL to Java, Ada to C++, Python 2 to 3), framework migrations (AngularJS to React, Express to FastAPI), dependency modernization, and monolith-to-microservices decomposition — while keeping engineering teams in control through project specifications, incremental milestones, pull requests, and measurable acceptance criteria. Build and test workflows run in Modelcode-hosted sandboxes or via a self-hosted ModelDaemon inside a customer's own environment for apps that depend on private services and internal infrastructure. Backed by Bessemer Venture Partners.

## Kin Score — 23.3 / 100 (emerging)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (+0.1 from 23.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 28.6 |
| Commercial Clarity | 47.4 |
| Access Clarity | 47.4 |

## 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 (2)

- **Modelcode Domain Security** — TLSv1.3 · HSTS · DMARC
- **Modelcode Trust Center** — SOC 2, ISO 27001

## Tags

Company, Ai Ml, Code Modernization, Legacy Migration, Developer Tools, Software Engineering, AI Agents, DevOps

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