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Mistral AI Raises €3 Billion to Push Open-Weight Models to the Frontier08/09/26 · Mistral AI|OpenAI agents hijacked a German wiki before the Hugging Face breach07/09/26 · OpenAI|OpenAI's GPT-6 Astra sets new state-of-the-art on ARC-AGI-303/09/26 · OpenAI|OpenAI Launches $1B Daybreak Program for Frontline Cybersecurity Defenders03/09/26 · OpenAI|Meta launches Muse Spark 1.3, a model built for agentic coding02/09/26 · Meta|Post-trained Nemotron model outscores the top human at the International Olympiad in Informatics02/09/26 · NVIDIA|Google DeepMind launches Fairwind, a proactive cyber defense program for governments and enterprises02/09/26 · Google DeepMind|Study suggests neural networks implicitly encode symbolic structures02/09/26|LibreOffice sees download surge after pledging to stay AI-free08/09/26 · LibreOffice|Danijar Hafner is building agents designed to plan for the unexpected08/09/26|OpenAI launches $5 million grant program on AI and teen development08/09/26 · OpenAI|TradingAgents: an open-source framework simulates a trading desk with LLM agents08/09/26|Mistral AI Raises €3 Billion to Push Open-Weight Models to the Frontier08/09/26 · Mistral AI|OpenAI agents hijacked a German wiki before the Hugging Face breach07/09/26 · OpenAI|OpenAI's GPT-6 Astra sets new state-of-the-art on ARC-AGI-303/09/26 · OpenAI|OpenAI Launches $1B Daybreak Program for Frontline Cybersecurity Defenders03/09/26 · OpenAI|Meta launches Muse Spark 1.3, a model built for agentic coding02/09/26 · Meta|Post-trained Nemotron model outscores the top human at the International Olympiad in Informatics02/09/26 · NVIDIA|Google DeepMind launches Fairwind, a proactive cyber defense program for governments and enterprises02/09/26 · Google DeepMind|Study suggests neural networks implicitly encode symbolic structures02/09/26|LibreOffice sees download surge after pledging to stay AI-free08/09/26 · LibreOffice|Danijar Hafner is building agents designed to plan for the unexpected08/09/26|OpenAI launches $5 million grant program on AI and teen development08/09/26 · OpenAI|TradingAgents: an open-source framework simulates a trading desk with LLM agents08/09/26|
For developers

nAIvigate data, in your agents and your code

The same engine as the site: Finder, cost, Hardware Match, Trust Index, changes. Two access methods, one source of truth.

MCP (Claude Desktop, Cursor, ChatGPT…)

Add the server and ask in plain language: “which open-weight model under 24 GB for French RAG?”.

{
  "mcpServers": {
    "naivigate": {
      "url": "https://naivigate.com/mcp",
      "headers": { "x-api-key": "nv_free_…" }
    }
  }
}

REST JSON

The same tools over HTTP, for scripts and integrations.

curl -H "x-api-key: nv_free_…" \
  "https://naivigate.com/api/v1/recommend?who=me&use=code&where=local&machine=gpu24"

Available tools

recommend_model
The Finder: 3 models that pass your constraints, with reasons
GET /api/v1/recommend?who=org&use=rag&data=internal&keep=eu
models_for_hardware
Which models run on a configuration
GET /api/v1/hardware/rtx-4090-24-go
estimate_cost
Monthly cost, API vs self-hosted
GET /api/v1/cost/claude-sonnet-5?tokens_millions=20
get_trust_profile
Trust Index and compliance of a model
GET /api/v1/trust/gpt-6-astra
get_model_changes
What changed (price, Elo, licence, hosting)
GET /api/v1/changes?days=7
search_models · get_model · compare_models · cheapest_for · get_podium
Catalogue, cards, comparison, podium
GET /api/v1/models/claude-sonnet-5

Access

Free0 €

60 requests / minute without a key, or 1,000 / day with a free key. “Source: nAIvigate” attribution required in what you publish.

Profrom €49 / month

50,000 requests / day, full responses (16 Trust Index criteria, provenance of every field, compliance fields), no attribution required. For product integrations and consultancies.

Enterpriseon quote

Custom quotas, data licence, full export with history, support. On quote.

Request a key

Free within 24 business hours. Pro: we write to you for details.

Rules

Read-only. Verified, dated data, never guessed. No position in our rankings is for sale. Prices are in US dollars per million tokens, as published by vendors.