> ## Documentation Index
> Fetch the complete documentation index at: https://docs.zerogpu.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Ad Tech
> Edge IAB classifiers that map content to taxonomy, audience, and intent signals for programmatic advertising.
Ad tech models map content to the IAB Content Taxonomy and the audience signals that programmatic advertising runs on. ZeroGPU offers a base IAB classifier tuned for real-time categorization at the edge plus an enriched variant that adds topics, keywords, and inferred intent. Each request is shown for both the [Responses API](/api-reference/responses) and the OpenAI-compatible [Chat Completions API](/api-reference/chat-completions).
| Model | Input /1M | Output /1M | Params | Max tokens |
| -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------: | ---------: | ------ | ---------: |
| 
zlm-v1-iab-classify-edge | \$0.02 | \$0.05 | 90M | 400 |
| 
zlm-v2-iab-classify-edge-enriched | \$0.02 | \$0.05 | 90M | 400 |
| 
zlm-v1-iab-domain-classifier | \$0.02 | \$0.05 | 149M | 100 |
## zlm-v1-iab-classify-edge
> ZeroGPU's IAB classifier maps any text to the industry-standard IAB Content Taxonomy in a single, fast inference call. Each call returns categories across both the 1.0 and 2.2 taxonomies plus matched audience segments, every result scored for confidence. With support for 50+ languages, it classifies multilingual content without a translation step. At 90M parameters on ONNX, it's built for the high-volume, sub-millisecond classification that ad tech and content platforms demand, right at the edge. When you need clean category and audience signals on every request, this is the model — and when you need the full profile, reach for the enriched variant.
**References:** [Model docs](https://docs.zerogpu.ai/) • [Terms](https://zerogpu.ai/terms) • [Privacy](https://zerogpu.ai/privacy-policy)
```bash Responses API theme={null}
curl https://api.zerogpu.ai/v1/responses \
-H "content-type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-H "x-project-id: YOUR_PROJECT_ID" \
-d '{
"input": "Technology has quietly reshaped the rhythm of everyday life, weaving itself into routines so seamlessly that it often goes unnoticed. From the moment a smartphone alarm wakes someone in the morning to the final glance at a glowing screen before sleep, digital systems guide communication, navigation, work, and entertainment. This transformation did not happen overnight. It emerged through decades of incremental innovation, each new tool building upon the last, until the modern world became deeply interconnected.One of the most significant changes has been the speed at which information travels.",
"model": "zlm-v1-iab-classify-edge"
}'
```
```bash Chat Completions theme={null}
curl https://api.zerogpu.ai/v1/chat/completions \
-H "content-type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-H "x-project-id: YOUR_PROJECT_ID" \
-d '{
"model": "zlm-v1-iab-classify-edge",
"messages": [
{
"role": "user",
"content": "What are the basics of exercise and physical fitness?Exercise is anything that gets your body moving. Regular exercise is one of the best things you can do for your health. It has many benefits, including improving your overall health and fitness, and reducing your risk for many chronic (long-term) diseases.Every physical fitness routine is built on a few simple ideas. These include:Make exercise a habit, as your body adapts to the type of activity you do most often. Regular practice will help you improve.Build up your activity level slowly to help you continue to get stronger, faster, or more flexible without pushing too hard all at once.Challenge yourself by lifting slightly heavier weights, adding a few more minutes to your walk, or increasing your pace."
}
]
}'
```
Returns IAB `audience` categories plus `content` matches across taxonomy versions, each with a confidence score.
```json Response theme={null}
{
"audience": [
{ "name": "Technology & Computing", "score": 0.7686 },
{ "name": "Consumer Electronics", "score": 0.7206 },
{ "name": "65-69", "score": 0.5950 }
],
"content": {
"iab_1_0": [
{ "name": "Cell Phones", "score": 0.7597 },
{ "name": "Technology & Computing", "score": 0.7387 }
],
"iab_2_2": [
{ "name": "Smartphones", "score": 0.7597 },
{ "name": "Wearable Technology", "score": 0.7387 },
{ "name": "Technology & Computing", "score": 0.7109 }
]
}
}
```
## zlm-v2-iab-classify-edge-enriched
> The enriched variant of ZeroGPU's IAB classifier turns a single inference call into a full content-intelligence profile not just a label, but everything a contextual pipeline needs to act on. Each call returns IAB categories across both the 1.0 and 2.2 taxonomies (down to tier-3), audience and interest segments, topics, keywords, and user-intent classification — all with confidence scores with edge-native, sub-millisecond speeds. With support for 50+ languages, it delivers the same full profile on multilingual content without a translation step. Built for contextual ad targeting, brand-safety scoring, publisher content categorization, and signal pipelines that need full metadata on every request.
**References:** [Model docs](https://docs.zerogpu.ai/) • [Terms](https://zerogpu.ai/terms) • [Privacy](https://zerogpu.ai/privacy-policy)
```bash Responses API theme={null}
curl https://api.zerogpu.ai/v1/responses \
-H "content-type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-H "x-project-id: YOUR_PROJECT_ID" \
-d '{
"input": "Technology has quietly reshaped the rhythm of everyday life, weaving itself into routines so seamlessly that it often goes unnoticed. From the moment a smartphone alarm wakes someone in the morning to the final glance at a glowing screen before sleep, digital systems guide communication, navigation, work, and entertainment. This transformation did not happen overnight. It emerged through decades of incremental innovation, each new tool building upon the last, until the modern world became deeply interconnected.One of the most significant changes has been the speed at which information travels.",
"model": "zlm-v2-iab-classify-edge-enriched"
}'
```
```bash Chat Completions theme={null}
curl https://api.zerogpu.ai/v1/chat/completions \
-H "content-type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-H "x-project-id: YOUR_PROJECT_ID" \
-d '{
"model": "zlm-v2-iab-classify-edge-enriched",
"messages": [
{
"role": "user",
"content": "What are the basics of exercise and physical fitness?Exercise is anything that gets your body moving. Regular exercise is one of the best things you can do for your health. It has many benefits, including improving your overall health and fitness, and reducing your risk for many chronic (long-term) diseases.Every physical fitness routine is built on a few simple ideas. These include:Make exercise a habit, as your body adapts to the type of activity you do most often. Regular practice will help you improve.Build up your activity level slowly to help you continue to get stronger, faster, or more flexible without pushing too hard all at once.Challenge yourself by lifting slightly heavier weights, adding a few more minutes to your walk, or increasing your pace."
}
]
}'
```
In addition to scored `audience` and `content` categories, the enriched model returns taxonomy codes and parent IDs, plus `topics`, `keywords`, and an inferred `user_intent`.
```json Response theme={null}
{
"audience": [
{
"id": 687,
"parent_id": 206,
"name": "Technology & Computing",
"tier1_name": "Interest",
"tier2_name": "Technology & Computing",
"score": 0.7686
},
{
"id": 703,
"parent_id": 687,
"name": "Consumer Electronics",
"tier1_name": "Interest",
"tier2_name": "Technology & Computing",
"tier3_name": "Consumer Electronics",
"score": 0.7206
}
],
"content": {
"iab_1_0": [
{ "code": "IAB19-6", "name": "Cell Phones", "tier": 2, "parent_code": "IAB19", "score": 0.7597 },
{ "code": "IAB19", "name": "Technology & Computing", "tier": 1, "parent_code": null, "score": 0.7387 }
]
},
"topics": [
{ "name": "smartphones", "score": 0.7597 },
{ "name": "wearable technology", "score": 0.7387 },
{ "name": "technology & computing", "score": 0.7109 }
],
"keywords": ["technology", "reshaped", "everyday", "routines", "quietly", "weaving", "rhythm", "itself", "life", "into"],
"user_intent": {
"name": "mastering technology quietly reshaped rhythm everyday life",
"category": "informational",
"score": 0.5
}
}
```
## zlm-v1-iab-domain-classifier
> ZeroGPU's Domain IAB Classifier maps a raw domain name straight to the IAB Content Taxonomy in a single, fast inference call, returning content categories, topics, keywords, and user-intent signals. Because it needs only the domain as input, it reduces payload size by up to 10x compared to page-level classification workflows while still surfacing the contextual signals that bidstream enrichment, contextual targeting, and domain-level intelligence pipelines run on. At 149M parameters on ONNX, it's built for the high-volume, sub-millisecond classification that ad tech and content platforms demand, right at the edge.
**References:** [Model docs](https://docs.zerogpu.ai/) • [Terms](https://zerogpu.ai/terms) • [Privacy](https://zerogpu.ai/privacy-policy)
### Domain-level classification
Page-level classifiers like `zlm-v1-iab-classify-edge` and `zlm-v2-iab-classify-edge-enriched` take the full body of an article or page as input and map that content to the taxonomy. `zlm-v1-iab-domain-classifier` works one level up: it takes only the raw domain name (for example `nytimes.com`) and infers the categories, topics, keywords, and intent that characterize the site as a whole.
That shift has two practical effects:
* **Up to 10x smaller payloads.** You send a single hostname instead of crawling and shipping page text, which makes it well suited to bidstream enrichment, where the domain is often the only contextual signal available and per-request size matters.
* **No page fetch required.** Use it when you have the domain but not the rendered content — domain-level intelligence pipelines, allow/deny list scoring, and contextual targeting at the inventory level. When you do have the page text and need per-URL precision, reach for the page-level classifiers instead.
```bash Responses API theme={null}
curl https://api.zerogpu.ai/v1/responses \
-H "content-type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-H "x-project-id: YOUR_PROJECT_ID" \
-d '{
"input": "nytimes.com",
"model": "zlm-v1-iab-domain-classifier"
}'
```
```bash Chat Completions theme={null}
curl https://api.zerogpu.ai/v1/chat/completions \
-H "content-type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-H "x-project-id: YOUR_PROJECT_ID" \
-d '{
"model": "zlm-v1-iab-domain-classifier",
"messages": [
{
"role": "user",
"content": "nytimes.com"
}
]
}'
```
Returns scored `content` categories across taxonomy versions plus `topics`, `keywords`, and an inferred `user_intent` for the domain.
```json Response theme={null}
{
"content": {
"iab_1_0": [
{ "name": "News", "score": 0.8124 },
{ "name": "Politics", "score": 0.6533 }
],
"iab_2_2": [
{ "name": "News and Politics", "score": 0.8124 },
{ "name": "Business and Finance", "score": 0.5980 }
]
},
"topics": [
{ "name": "news", "score": 0.8124 },
{ "name": "journalism", "score": 0.6740 },
{ "name": "current events", "score": 0.6533 }
],
"keywords": ["news", "politics", "world", "business", "opinion", "media", "journalism"],
"user_intent": {
"name": "reading news and current events",
"category": "informational",
"score": 0.5
}
}
```