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OpenAI models are coming to Google Cloud21/10/26 · OpenAI|OpenAI details ChatGPT's new advertising infrastructure21/10/26 · OpenAI|Anthropic reportedly posted a net loss of over $80 billion in H1 202620/10/26 · Anthropic|Self-Evolving Interfaces Help a Mid-Sized Open Model Beat GPT-5.5 and Claude Opus20/10/26|Anthropic says Claude helped trace the origin of NIST's mysterious ECDSA seeds16/10/26 · Anthropic|Sweden bans ChatGPT and Claude across government offices23/10/26|SpectralCanary: A Lightweight Method to Detect Unauthorized Training Data Use22/10/26|Low-bit n-gram tables cut memory use in language models22/10/26|NVIDIA releases OpenShell, a runtime for fleets of autonomous AI agents22/10/26 · NVIDIA|Ai2 releases OlmoEarth v1.3, an upgraded geospatial embeddings model22/10/26 · Ai2|NVIDIA Introduces Minerva, an Observability Platform for AI Factories22/10/26 · NVIDIA|Google DeepMind maps the world's forest types at global scale22/10/26 · Google DeepMind|OpenAI models are coming to Google Cloud21/10/26 · OpenAI|OpenAI details ChatGPT's new advertising infrastructure21/10/26 · OpenAI|Anthropic reportedly posted a net loss of over $80 billion in H1 202620/10/26 · Anthropic|Self-Evolving Interfaces Help a Mid-Sized Open Model Beat GPT-5.5 and Claude Opus20/10/26|Anthropic says Claude helped trace the origin of NIST's mysterious ECDSA seeds16/10/26 · Anthropic|Sweden bans ChatGPT and Claude across government offices23/10/26|SpectralCanary: A Lightweight Method to Detect Unauthorized Training Data Use22/10/26|Low-bit n-gram tables cut memory use in language models22/10/26|NVIDIA releases OpenShell, a runtime for fleets of autonomous AI agents22/10/26 · NVIDIA|Ai2 releases OlmoEarth v1.3, an upgraded geospatial embeddings model22/10/26 · Ai2|NVIDIA Introduces Minerva, an Observability Platform for AI Factories22/10/26 · NVIDIA|Google DeepMind maps the world's forest types at global scale22/10/26 · Google DeepMind|
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 (20 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.