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ai.dynamicfeed/dynamic-feed
91 keyless tools of live, verifiable data for AI: weather, hazards, space, CVEs. Ed25519-signed.
biocontext
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glama
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mcp.so
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nerq
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pulsemcp
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smithery
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Current & trending AI MODELS from the open-model ecosystem (Hugging Face) — name, org, task, popularity (likes/downloads) and release date. Use for "what AI models are trending / newest / what's the latest <X> model". This is the OPEN side (Llama, Qwen, DeepSeek, Mistral, Gemma, Phi…); for the closed flagships (GPT, Claude, Gemini, Grok) with pricing & versions use search_ai_models. Args: query: search a model name (e.g. llama, qwen, whisper). org: filter by org/author (e.g. meta-llama, deepseek-ai, Qwen, mistralai, google). task: text-generation (default), text-to-image, automatic-speech-recognition, … or 'any'. sort: trending (default) | newest | downloads. limit: max results. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.
Measured latency & uptime for each major AI provider's API (OpenAI, Anthropic, Google, Mistral, Groq, DeepSeek, xAI) — Dynamic Feed's own measurements, fastest first. Use this to pick the fastest/most-reliable provider right now, or to route. Args: window_hours: rolling window for the averages (default 24). Envelope: this is OUR measurement probe, so measured_at = when we last probed (the freshest row's `last_checked`); max_age 15 min covers the ~10-min probe cadence, so a current reading is "live". No samples in the window yields unavailable. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.
No endpoints wrapped at confidence ≥ 0.9.
No matched repository in PRSM yet — maintainer attribution unavailable.
Current air quality for a city or lat/lon — PM2.5, PM10, US & European AQI, ozone, NO2, with a category (Good/Moderate/Unhealthy...). Use for "is the air quality safe in X". Single-network (model) — see air_quality_fusion for a two-network cross-validated reading. Args: city: city name (geocoded). lat/lon: alternative. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.