AI Compute Radar
mcp remote · streamable-http · v1.2.3 · source: crawl
https://aicomputeradar.dev/api/mcp
Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.
Works
100
Verified Oct 31, 2026 · p50 430 ms · p95 444 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'ai-compute-radar' |
| tools_listed | 15 | pass | 6 tools |
| schema_complete | 15 | pass | 6 of 6 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 430 ms |
| latency_p95 | 5 | pass | p95 444 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (6)
| Name | Description | Schema |
|---|---|---|
trending_models | Tracked AI models ranked by Heat Score (0–100, weighted percentiles of measured Hugging Face/OpenRouter signals) with the raw signals, local-run facts (GGUF size, quantization) and links. Models still | typed |
find_fit | Which tracked models run on a given GPU or Mac: measured GGUF weights + computed context cache + runtime overhead versus usable memory. Returns the best recommendation and every verdict (EXCELLENT/GOO | typed |
gpu_prices | Median verified on-demand rental price per GPU class on Vast.ai (USD per hour), with min/p75 and offer counts, the collection timestamp, and per class the Rent Index: this week's median against last w | typed |
price_history | Daily price history per GPU class and source, up to 90 days: the rows the Rent Index and the 30-day range are computed from. Marketplace days (Vast.ai, Clore.ai) are medians over the day's counted hou | typed |
list_hardware | Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth. Use an id with find_fit. | typed |
weekly_pick | The current pick of the week: one tracked model chosen by a published rule (largest counted Heat Score rise among models that run comfortably on a consumer card of up to 24 GB), with the numbers froze | typed |
Badge
Paste into your README. It updates on every verification.
[](https://app.agent-xm.com/a/dev-aicomputeradar-ai-compute-radar)
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