Server definition

Hash: sha256:745f96a1814ecb60cad2954c55aa76a0bcf2af69cbe30c6bf529e29007e379d5
What it is: What a remote MCP server returned when asked what it offers: 5 tools

The blob, as servednamed by its sha256

{
  "instructions": "AI Compute Radar exposes measured AI-model momentum, hardware-fit verdicts and GPU rental prices. Every result carries meta.source (live = measured, fallback = demo fixtures) and meta.collectedAt — repeat the collection time when quoting a number. Data is CC BY 4.0: attribute 'AI Compute Radar (https://aicomputeradar.dev)'.",
  "tools": [
    {
      "description": "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/GOOD/TIGHT/OFFLOAD_REQUIRED/NOT_RECOMMENDED/UNKNOWN) with plain-language reasons. Get hardware ids from list_hardware.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Context length in tokens (default 8192).",
            "maximum": 1048576,
            "minimum": 512,
            "type": "integer"
          },
          "hardware": {
            "description": "Hardware id or page slug, e.g. rtx-4090, mac-studio-m3-ultra-96gb.",
            "type": "string"
          },
          "kv": {
            "description": "KV-cache quantization (default f16).",
            "enum": [
              "f16",
              "q8_0",
              "q4_0"
            ],
            "type": "string"
          },
          "model": {
            "description": "Restrict to one model slug.",
            "type": "string"
          }
        },
        "required": [
          "hardware"
        ],
        "type": "object"
      },
      "name": "find_fit",
      "outputSchema": null
    },
    {
      "description": "Median verified on-demand rental price per GPU class on Vast.ai (USD per hour), with min/p75 and offer counts, the collection timestamp, and per class the Rent Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches, plus RunPod's lowest posted on-demand price per class (a list price, not a median), Clore.ai's median for the same class (a second marketplace, never blended), and the Azure and Oracle Cloud pay-as-you-go list prices per GPU-hour, each with the VM size or bare-metal shape the price sits in (list prices, read four times a day, no statement about capacity). The index describes what prices did; it never forecasts.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {},
        "type": "object"
      },
      "name": "gpu_prices",
      "outputSchema": null
    },
    {
      "description": "Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth. Use an id with find_fit.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {},
        "type": "object"
      },
      "name": "list_hardware",
      "outputSchema": null
    },
    {
      "description": "Tracked AI models ranked by Heat Score (0–100, weighted percentiles of measured Hugging Face/OpenRouter signals) with the raw signals, local-run facts (GGUF size, quantization) and links. Models still collecting a week of history have heat=null and rank after scored ones.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "limit": {
            "description": "How many models to return (default 12).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "slug": {
            "description": "Return a single model by slug.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "trending_models",
      "outputSchema": null
    },
    {
      "description": "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 frozen at selection time, a device-by-device fit ladder and the written report including its caveats. Pass week (e.g. 2026-w37) for a past issue. issue is null until the first issue is published.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "week": {
            "description": "ISO week label of a past issue, e.g. 2026-w37 (default: the current issue).",
            "pattern": "^\\d{4}-w\\d{2}$",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "weekly_pick",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:745f96a1814ecb60cad2954c55aa76a0bcf2af69cbe30c6bf529e29007e379d5 | sha256sum