TANDIU AI infrastructure data
Measured conclusion: Deep-tested. L2 outcome: tools_ok.
Free, no auth. Daily CN AI infra: LLM prices, index, trends, GPU, estimators, agents, PC, funding.
| Author | cn.tandiu |
|---|---|
| Access | remote |
| Publisher key required | No |
| Measured state | Deep-tested |
| L1 liveness | alive |
| L1 latency | 1592 ms |
| Last measured | 2026-10-24 |
Add to your agent
Copy this into your MCP client config:
{
"mcpServers": {
"TANDIU AI infrastructure data": {
"url": "https://www.tandiu.cn/mcp",
"transport": "streamable-http"
}
}
}
Measured tools (14)
about_tandiu_dataread-onlyWhat data TANDIU publishes, refresh cadence, price basis and how to cite. Call first.
Hints: read-only yes · destructive no · idempotent yes · open-world no
list_llm_pricesread-onlyOfficial API list prices (USD per 1M tokens) with Artificial Analysis, LiveBench 2.0 and Epoch AI scores for major US and Chinese LLMs. Filter and sort.
Parameters:
limit— integerquery— string — substring of model namevendor— stringcountry— string — US, CN or another ISO codesort_by— string
Hints: read-only yes · destructive no · idempotent yes · open-world no
cheapest_model_for_scoreread-onlyCheapest models whose benchmark score meets a threshold (absolute or percent of the best score).
Parameters:
limit— integermetric— stringcountry— stringmin_score— numbermin_percent_of_top— number
Hints: read-only yes · destructive no · idempotent yes · open-world no
get_price_indexread-onlyChain-linked LLM price index (CN, US or all models), 30-day change, median price and series.
Parameters:
group— stringsince— string — YYYY-MM-DD
Hints: read-only yes · destructive no · idempotent yes · open-world no
get_llm_price_historyread-onlyPro (API key required): daily official list-price history per model since July 2026, USD and RMB per 1M tokens, with source URLs. Filter by model, vendor, country and date range.
Parameters:
limit— integermodel— string — model key or name substring, e.g. gpt-5.6, deepseeksince— string — YYYY-MM-DDuntil— string — YYYY-MM-DDvendor— stringcountry— string
Hints: read-only yes · destructive no · idempotent yes · open-world no
list_price_changesread-onlyOfficial list-price cuts/increases observed in daily snapshots, and models newly added to tracking.
Parameters:
limit— integersince— string — YYYY-MM-DD, default last 90 daysmin_change_pct— number
Hints: read-only yes · destructive no · idempotent yes · open-world no
estimate_self_hostingread-onlyVRAM, GPUs needed, single-stream and batched throughput, hardware cost and the vendor's official API price/speed for self-hosting an open-weights model. Omit model to list available models.
Parameters:
gpus— array — gpu ids from list_gpu_prices, e.g. h100_sxm, h20, ascend910b, rtx_pro_6000, rtx5090, rtx5090dmodel— string
Hints: read-only yes · destructive no · idempotent yes · open-world no
list_gpu_pricesread-onlyData-center, workstation and consumer GPUs (B300/B200/H200/H100/H20, Ascend 910B/910C, RTX PRO 6000/5500/5000, RTX 5090/5090D/4090D, L40S/L20): VRAM, bandwidth, FP16 compute, list price, China market price (SXM GPUs per 8-GPU node), cloud rental with 7-day change, sources and dates.
Parameters:
query— string — gpu id or name substring, e.g. h20, rtx pro 6000, 910with_cloud_rental— booleanchina_available_only— boolean
Hints: read-only yes · destructive no · idempotent yes · open-world no
estimate_role_token_budgetread-onlyMonthly token usage and cost for 32 common job roles at light / standard / heavy AI usage, with the best model (any country) and the best Chinese model that meet each role's capability floor.
Parameters:
group— stringlimit— integerquery— string — role id or name, e.g. backend, lawyer, doctorusage— string
Hints: read-only yes · destructive no · idempotent yes · open-world no
estimate_enterprise_ai_costread-onlyMonthly AI cost for 10 / 100 / 1,000 / 10,000-person company samples across industries: API (per-role model choice, or the open model's official API) vs self-hosting the same open model on public cloud, private cloud or on-premises GPUs, with GPU count and cost per 1M tokens.
Parameters:
query— string — industry or sample, e.g. bank, hospital, ecommerceheadcount— integerinclude_team— booleaninclude_gpu_breakdown— boolean — self-hosting cost on every GPU for each sampleinclude_hardware_table— boolean — per-GPU unit economics (throughput, hardware price, cost per 1M tokens)
Hints: read-only yes · destructive no · idempotent yes · open-world no
list_cloud_agentsread-onlyCloud agents (one persistent agent per person, team agents, hosting platforms) with specs and monthly prices.
Parameters:
kind— stringlimit— integerquery— string
Hints: read-only yes · destructive no · idempotent yes · open-world no
recommend_coding_pcread-onlyRelative speed and tier (best/recommended/minimum/not_advised) of Macs, laptops and desktops for running Codex / Claude Code.
Parameters:
tier— stringquery— stringcategory— string
Hints: read-only yes · destructive no · idempotent yes · open-world no
list_ai_fundingread-onlyFunding 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.
Parameters:
limit— integerquery— string — company, product or investor namesince— string — YYYY-MM-DDregion— stringsector— stringsort_by— stringmin_amount_usd— number
Hints: read-only yes · destructive no · idempotent yes · open-world no
list_overseas_listingsread-onlyWhere Chinese open models (DeepSeek, Qwen, GLM, Kimi, MiniMax, ...) are listed on platforms headquartered outside mainland China: hosting type, regions, input/output/blended USD per 1M tokens vs the official price, context, tool calling, data-policy links. Labs ranked by Hugging Face followers, models by downloads and likes.
Parameters:
limit— integermodel— string — model name or key substring, e.g. deepseek v4 pro, kimi, glm-5platform— string — platform name substring, e.g. together, bedrocktool_calling— booleanmax_blended_usd— number — max blended USD per 1M tokens
Hints: read-only yes · destructive no · idempotent yes · open-world no
Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.