# TensorMesh

**Canonical:** https://apis.io/providers/tensormesh/  
**Website:** https://tensormesh.ai/  
**APIs profiled:** 2

TensorMesh provides a high-performance, scalable platform for building and deploying tensor-based computational meshes. Their services enable developers to create, visualize, and manage complex data structures for AI, scientific computing, and simulation workloads. The company focuses on delivering robust APIs, comprehensive documentation, and enterprise-grade security to support a wide range of applications across industries.

## Kin Score — 23.1 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 53.6 |
| Contract Quality | 17.8 |
| Contract Governance | 22.0 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 42.9 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 15.5 (matched via fallback).

## Agent readiness — 39.4 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | yes |
| Consent Identity | no |
| Agent Card | conformant |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | no |

## APIs (2)

- **TensorMesh API** — API for TensorMesh platform providing KV caching and deployment management for vLLM fleets.
- **TensorMesh API** — TensorMesh API as documented publicly: 11 operations. Contract generated from the documentation by API Evangelist (2026-10-19); not the provider's own document.

## Security (1)

- **Tensormesh Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Data Processing, Cloud Platform, Machine Learning

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