io.github.TheBaronofAI/vetted-consumer · v1.0.0 · ai-and-media
io.github.TheBaronofAI/vetted-consumer is healthy: it completed an MCP handshake in 3831 ms and exposes 9 tools.
Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.
Endpoint: https://vettedconsumer.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 9 |
| Latency | 3831 ms |
| Last checked (UTC) | 2026-10-15T02:25:52.143Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T02:25:52.143Z | Healthy | 3831 |
can_i_run_it | Will a given local LLM run on given hardware? Returns fit, the best quant that fits, theoretical tok/s, and real owner-measured tok/s where available. |
recommend_quant | Which GGUF quantization to download for a model on given hardware: the full quant ladder with file size, max context, and tok/s for each, plus the recommended pick. |
cheapest_hardware_for_model | The cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context. |
list_models | List the local LLM model classes the tools know about (params, dense/MoE, native context). |
list_hardware | List the machines the tools know about (memory, bandwidth, price, buy link). |
cost_compare | Buy vs rent vs API cost to run a model locally: monthly/1y/3y totals, break-even months, and the energy cost per 1M tokens. Same math as /cost-calculator/. |
recommend_hardware | Ranked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap. |
get_used_gpu_prices | Current typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly). |
compare_hardware | Side-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines. |