TANDIU AI infrastructure data
Read-only LLM API prices, benchmarks, price index, GPU self-hosting sizing and cloud agent data.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (3)
- LOWTool 'cheapest_model_for_score' description lacks action verbin cheapest_model_for_score
- LOWTool 'get_price_index' description lacks action verbin get_price_index
- LOWTool 'list_cloud_agents' description lacks action verbin list_cloud_agents
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"data": {
"url": "https://www.tandiu.cn/mcp"
}
}
}Remote-Endpunkte
https://www.tandiu.cn/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (9)
🟢about_tandiu_data
What data TANDIU publishes, refresh cadence, price basis and how to cite. Call first.
Eingabe-Schema
{
"type": "object",
"properties": {},
"required": [],
"additionalProperties": false
}🟢list_llm_prices(country, vendor, query, sort_by, limit)
Official API list prices (USD per 1M tokens) with Artificial Analysis, LiveBench and Epoch AI scores for major US and Chinese LLMs. Filter and sort.
Eingabe-Schema
{
"type": "object",
"properties": {
"country": {
"type": "string",
"description": "US, CN or another ISO code"
},
"vendor": {
"type": "string"
},
"query": {
"type": "string",
"description": "substring of model name"
},
"sort_by": {
"type": "string",
"enum": [
"livebench",
"aa_index",
"blended_price",
"input_price",
"output_price"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"required": [],
"additionalProperties": false
}🟢cheapest_model_for_score(metric, min_score, min_percent_of_top, country, limit)
Cheapest models whose benchmark score meets a threshold (absolute or percent of the best score).
Eingabe-Schema
{
"type": "object",
"properties": {
"metric": {
"type": "string",
"enum": [
"aa_index",
"livebench"
]
},
"min_score": {
"type": "number"
},
"min_percent_of_top": {
"type": "number",
"minimum": 1,
"maximum": 100
},
"country": {
"type": "string"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [],
"additionalProperties": false
}🟢get_price_index(group, since)
Chain-linked LLM price index (CN, US or all models), 30-day change, median price and series.
Eingabe-Schema
{
"type": "object",
"properties": {
"group": {
"type": "string",
"enum": [
"CN",
"US",
"ALL"
]
},
"since": {
"type": "string",
"description": "YYYY-MM-DD"
}
},
"required": [],
"additionalProperties": false
}🟢list_price_changes(since, min_change_pct, limit)
Official list-price cuts/increases observed in daily snapshots, and models newly added to tracking.
Eingabe-Schema
{
"type": "object",
"properties": {
"since": {
"type": "string",
"description": "YYYY-MM-DD, default last 90 days"
},
"min_change_pct": {
"type": "number"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"required": [],
"additionalProperties": false
}🟢estimate_self_hosting(model, gpus)
VRAM, GPUs needed, speed and hardware cost to self-host an open-weights model. Omit model to list available models.
Eingabe-Schema
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"gpus": {
"type": "array",
"items": {
"type": "string"
},
"description": "gpu ids, e.g. h100_sxm, h20, l20, ascend910b, rtx5090d"
}
},
"required": [],
"additionalProperties": false
}🟢list_cloud_agents(kind, query, limit)
Cloud agents (one persistent agent per person, team agents, hosting platforms) with specs and monthly prices.
Eingabe-Schema
{
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": [
"personal",
"work",
"platform"
]
},
"query": {
"type": "string"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"required": [],
"additionalProperties": false
}🟢recommend_coding_pc(category, tier, query)
Relative speed and tier (best/recommended/minimum/not_advised) of Macs, laptops and desktops for running Codex / Claude Code.
Eingabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"mac",
"laptop",
"desktop"
]
},
"tier": {
"type": "string",
"enum": [
"best",
"recommended",
"minimum",
"not_advised"
]
},
"query": {
"type": "string"
}
},
"required": [],
"additionalProperties": false
}🟢list_ai_funding(region, sector, query, since, min_amount_usd, ...)
Funding rounds of AI companies (mainly US and China): company, business, round, amount, valuation, investors, source links. Newest first; filter by region, sector, company/investor name, date or minimum amount.
Eingabe-Schema
{
"type": "object",
"properties": {
"region": {
"type": "string",
"enum": [
"US",
"CN",
"OTHER"
]
},
"sector": {
"type": "string",
"enum": [
"foundation_model",
"ai_app",
"agent",
"chip",
"compute",
"robotics",
"autonomous",
"infra_tools",
"vertical",
"other"
]
},
"query": {
"type": "string",
"description": "company, product or investor name"
},
"since": {
"type": "string",
"description": "YYYY-MM-DD"
},
"min_amount_usd": {
"type": "number"
},
"sort_by": {
"type": "string",
"enum": [
"date",
"amount"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"required": [],
"additionalProperties": false
}Community
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