README.md

---
license: cc-by-4.0
task_categories:
- text-classification
- feature-extraction
language:
- en
tags:
- b2b
- saas
- data
- api
- ai-tools
pretty_name: "AI/SaaS Tools 260K (sample)"
size_categories:
- 1K<n<100K
---

# Datenix tool-intel · AI/SaaS Tools 260K (sample)

**10,000 sample rows** from a full database of **259,665 unique entities**.

260K unique AI/SaaS tool domains cross-verified from 30+ industry directories.

## Files

- data.jsonl — 10K rows JSONL (line-delimited JSON, one entity per line)
- data.csv — same data in CSV format

## Usage

```python
from datasets import load_dataset

ds = load_dataset("datenix/tool-intel-sample")
print(ds["train"][0])
```

Or plain jsonl:

```python
import json
with open("data.jsonl") as f:
    for line in f:
        rec = json.loads(line)
        print(rec)
```

## Full dataset

Full DB via commercial API: https://datenix.xyz

## Citation

```
@dataset{datenix_ai-tools_2026,
  title  = {AI/SaaS Tools 260K (sample)},
  author = {Datenix},
  year   = {2026},
  url    = {https://datenix.xyz},
  license = {CC-BY-4.0}
}
```

## License

CC-BY-4.0 · Attribution required for commercial use.