vioscaleAI
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Docs

Documentation

Everything vioscaleAI serves is a projection of one knowledge base of provenanced facts. These docs cover the machine surfaces an agent or developer will use.

REST & GraphQL API

The /api/v1 endpoint reference, response envelope, GraphQL schema, and content negotiation.

MCP server

Install the Model Context Protocol server and wire vioscaleAI into any agent as a set of tools.

For AI & agents

A practical, copy-paste guide to consuming and citing vioscaleAI from an assistant or agent.

Method & scoring

How the composite score is computed, confidence bands, freshness, and the provenance model.

Quick start

  • https://www.vioscale.ai/api/v1: self-describing API index
  • https://www.vioscale.ai/api/v1/software/nextjs: one entity as JSON
  • https://www.vioscale.ai/software/nextjs.md: the same entity as Markdown
  • https://www.vioscale.ai/api/graphql: GraphQL + GraphiQL
  • https://www.vioscale.ai/llms.txt: the corpus map for LLMs
vioscaleAI

Independent, evidence-based software intelligence, built to be read and cited by AI.

Product

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For AI & agents

  • How to cite us
  • JSON & GraphQL API
  • MCP server
  • llms.txt

Method

  • How we score
  • Provenance
  • Why independent
  • Blog
  • Documentation
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© 2026 Vioscale Technologies Ltd. No vendor money touches the data.Every fact carries source · date · confidence.

vioscaleAI is an independent analysis tool and is not affiliated with, endorsed by, or sponsored by the products it lists. All product names, logos, and brands are the property of their respective owners. Product data is derived from publicly available sources and presented with its source provenance.

Vioscale Technologies Ltd is registered in England and Wales, company number 14751646. Registered office: 71-75 Shelton Street, Covent Garden, London, United Kingdom, WC2H 9JQ.