Vetted Consumer

io.github.TheBaronofAI/vetted-consumer

Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.

healthy

status

tools exposed

2129ms

connect latency

30c7dd44dbde

schema fingerprint

Tools (9)

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.

Endpoint

https://vettedconsumer.com/mcp
Category: AI & LLM · Last checked: 2026-08-15T09:38:10Z

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How we measure →

What this means. This server responded to the MCP handshake and listed its tools without authentication. The schema fingerprint lets us flag if tool signatures silently change (schema drift) between checks.