Free, no auth. Daily CN AI infra: LLM prices, index, trends, GPU, estimators, agents, PC, funding.
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What data TANDIU publishes, refresh cadence, price basis and how to cite. Call first.
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What data TANDIU publishes, refresh cadence, price basis and how to cite. Call first.
No arguments.
{
"type": "object",
"required": [],
"properties": {},
"additionalProperties": false
}Cheapest models whose benchmark score meets a threshold (absolute or percent of the best score).
| Argument | Type | Description |
|---|---|---|
| limit | integer | |
| metric | string | |
| country | string | |
| min_score | number | |
| min_percent_of_top | number |
{
"type": "object",
"required": [],
"properties": {
"limit": {
"type": "integer",
"maximum": 20,
"minimum": 1
},
"metric": {
"enum": [
"aa_index",
"livebench"
],
"type": "string"
},
"country": {
"type": "string"
},
"min_score": {
"type": "number"
},
"min_percent_of_top": {
"type": "number",
"maximum": 100,
"minimum": 1
}
},
"additionalProperties": false
}Monthly 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.
| Argument | Type | Description |
|---|---|---|
| query | string | industry or sample, e.g. bank, hospital, ecommerce |
| headcount | integer | |
| include_team | boolean | |
| include_gpu_breakdown | boolean | self-hosting cost on every GPU for each sample |
| include_hardware_table | boolean | per-GPU unit economics (throughput, hardware price, cost per 1M tokens) |
{
"type": "object",
"required": [],
"properties": {
"query": {
"type": "string",
"description": "industry or sample, e.g. bank, hospital, ecommerce"
},
"headcount": {
"enum": [
10,
100,
1000,
10000
],
"type": "integer"
},
"include_team": {
"type": "boolean"
},
"include_gpu_breakdown": {
"type": "boolean",
"description": "self-hosting cost on every GPU for each sample"
},
"include_hardware_table": {
"type": "boolean",
"description": "per-GPU unit economics (throughput, hardware price, cost per 1M tokens)"
}
},
"additionalProperties": false
}Monthly 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.
| Argument | Type | Description |
|---|---|---|
| group | string | |
| limit | integer | |
| query | string | role id or name, e.g. backend, lawyer, doctor |
| usage | string |
{
"type": "object",
"required": [],
"properties": {
"group": {
"enum": [
"tech",
"product",
"data",
"market",
"service",
"support",
"pro",
"front"
],
"type": "string"
},
"limit": {
"type": "integer",
"maximum": 40,
"minimum": 1
},
"query": {
"type": "string",
"description": "role id or name, e.g. backend, lawyer, doctor"
},
"usage": {
"enum": [
"light",
"standard",
"heavy"
],
"type": "string"
}
},
"additionalProperties": false
}VRAM, 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.
| Argument | Type | Description |
|---|---|---|
| gpus | array | gpu ids from list_gpu_prices, e.g. h100_sxm, h20, ascend910b, rtx_pro_6000, rtx5090, rtx5090d |
| model | string |
{
"type": "object",
"required": [],
"properties": {
"gpus": {
"type": "array",
"items": {
"type": "string"
},
"description": "gpu ids from list_gpu_prices, e.g. h100_sxm, h20, ascend910b, rtx_pro_6000, rtx5090, rtx5090d"
},
"model": {
"type": "string"
}
},
"additionalProperties": false
}Pro (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.
| Argument | Type | Description |
|---|---|---|
| limit | integer | |
| model | string | model key or name substring, e.g. gpt-5.6, deepseek |
| since | string | YYYY-MM-DD |
| until | string | YYYY-MM-DD |
| vendor | string | |
| country | string |
{
"type": "object",
"required": [],
"properties": {
"limit": {
"type": "integer",
"maximum": 10000,
"minimum": 1
},
"model": {
"type": "string",
"description": "model key or name substring, e.g. gpt-5.6, deepseek"
},
"since": {
"type": "string",
"description": "YYYY-MM-DD"
},
"until": {
"type": "string",
"description": "YYYY-MM-DD"
},
"vendor": {
"type": "string"
},
"country": {
"type": "string"
}
},
"additionalProperties": false
}Chain-linked LLM price index (CN, US or all models), 30-day change, median price and series.
| Argument | Type | Description |
|---|---|---|
| group | string | |
| since | string | YYYY-MM-DD |
{
"type": "object",
"required": [],
"properties": {
"group": {
"enum": [
"CN",
"US",
"ALL"
],
"type": "string"
},
"since": {
"type": "string",
"description": "YYYY-MM-DD"
}
},
"additionalProperties": false
}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.
| Argument | Type | Description |
|---|---|---|
| limit | integer | |
| query | string | company, product or investor name |
| since | string | YYYY-MM-DD |
| region | string | |
| sector | string | |
| sort_by | string | |
| min_amount_usd | number |
{
"type": "object",
"required": [],
"properties": {
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1
},
"query": {
"type": "string",
"description": "company, product or investor name"
},
"since": {
"type": "string",
"description": "YYYY-MM-DD"
},
"region": {
"enum": [
"US",
"CN",
"OTHER"
],
"type": "string"
},
"sector": {
"enum": [
"foundation_model",
"ai_app",
"agent",
"chip",
"compute",
"robotics",
"autonomous",
"infra_tools",
"vertical",
"other"
],
"type": "string"
},
"sort_by": {
"enum": [
"date",
"amount"
],
"type": "string"
},
"min_amount_usd": {
"type": "number"
}
},
"additionalProperties": false
}Cloud agents (one persistent agent per person, team agents, hosting platforms) with specs and monthly prices.
| Argument | Type | Description |
|---|---|---|
| kind | string | |
| limit | integer | |
| query | string |
{
"type": "object",
"required": [],
"properties": {
"kind": {
"enum": [
"personal",
"work",
"platform"
],
"type": "string"
},
"limit": {
"type": "integer",
"maximum": 50,
"minimum": 1
},
"query": {
"type": "string"
}
},
"additionalProperties": false
}Data-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.
| Argument | Type | Description |
|---|---|---|
| query | string | gpu id or name substring, e.g. h20, rtx pro 6000, 910 |
| with_cloud_rental | boolean | |
| china_available_only | boolean |
{
"type": "object",
"required": [],
"properties": {
"query": {
"type": "string",
"description": "gpu id or name substring, e.g. h20, rtx pro 6000, 910"
},
"with_cloud_rental": {
"type": "boolean"
},
"china_available_only": {
"type": "boolean"
}
},
"additionalProperties": false
}Official 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.
| Argument | Type | Description |
|---|---|---|
| limit | integer | |
| query | string | substring of model name |
| vendor | string | |
| country | string | US, CN or another ISO code |
| sort_by | string |
{
"type": "object",
"required": [],
"properties": {
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1
},
"query": {
"type": "string",
"description": "substring of model name"
},
"vendor": {
"type": "string"
},
"country": {
"type": "string",
"description": "US, CN or another ISO code"
},
"sort_by": {
"enum": [
"livebench",
"aa_index",
"blended_price",
"input_price",
"output_price"
],
"type": "string"
}
},
"additionalProperties": false
}Where 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.
| Argument | Type | Description |
|---|---|---|
| limit | integer | |
| model | string | model name or key substring, e.g. deepseek v4 pro, kimi, glm-5 |
| platform | string | platform name substring, e.g. together, bedrock |
| tool_calling | boolean | |
| max_blended_usd | number | max blended USD per 1M tokens |
{
"type": "object",
"required": [],
"properties": {
"limit": {
"type": "integer",
"maximum": 200,
"minimum": 1
},
"model": {
"type": "string",
"description": "model name or key substring, e.g. deepseek v4 pro, kimi, glm-5"
},
"platform": {
"type": "string",
"description": "platform name substring, e.g. together, bedrock"
},
"tool_calling": {
"type": "boolean"
},
"max_blended_usd": {
"type": "number",
"description": "max blended USD per 1M tokens"
}
},
"additionalProperties": false
}Official list-price cuts/increases observed in daily snapshots, and models newly added to tracking.
| Argument | Type | Description |
|---|---|---|
| limit | integer | |
| since | string | YYYY-MM-DD, default last 90 days |
| min_change_pct | number |
{
"type": "object",
"required": [],
"properties": {
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1
},
"since": {
"type": "string",
"description": "YYYY-MM-DD, default last 90 days"
},
"min_change_pct": {
"type": "number"
}
},
"additionalProperties": false
}Relative speed and tier (best/recommended/minimum/not_advised) of Macs, laptops and desktops for running Codex / Claude Code.
| Argument | Type | Description |
|---|---|---|
| tier | string | |
| query | string | |
| category | string |
{
"type": "object",
"required": [],
"properties": {
"tier": {
"enum": [
"best",
"recommended",
"minimum",
"not_advised"
],
"type": "string"
},
"query": {
"type": "string"
},
"category": {
"enum": [
"mac",
"laptop",
"desktop"
],
"type": "string"
}
},
"additionalProperties": false
}