Vetted Consumer
by vettedconsumer.com in AI models & inference
Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.
https://vettedconsumer.com/mcp
Last 30 days
Status and outage history ยท Atom feed
- Uptime
- 100%
- Response time
- 591 ms typical, 614 ms slowest 5%
- Last check
- 10 h ago
- Next check
- any minute now
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"vetted-consumer": {
"type": "http",
"url": "https://vettedconsumer.com/mcp"
}
}
}9 tools
- 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.
Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 10 h ago | Passed | 200 | 608 ms |
| 19 h ago | Passed | 200 | 643 ms |
| 29 h ago | Passed | 200 | 598 ms |
| 38 h ago | Passed | 200 | 544 ms |
| 2 days ago | Passed | 200 | 516 ms |
| 2 days ago | Passed | 200 | 551 ms |
| 3 days ago | Passed | 200 | 614 ms |
| 3 days ago | Passed | 200 | 591 ms |