Sift is the premier web intelligence API for the current era. It retrieves, filters, and synthesizes live web content into precise, grounded signal for your AI applications.
3 highly relevant sources identified. Scores above 0.88. Key findings: transformer architectures with self-attention form the foundation of modern large language models. No conflicting information detected.
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train.
The Transformer achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU.
Vaswani et al., NeurIPS 2017
Sift processes every search result, understands intent, and removes the noise before it reaches your model. Focus on building products -- the data quality handles itself.
Today · 42 results processed
Vaswani et al. 2017 · Transformer
Kaplan et al. 2020 · Scaling Laws
Brown et al. · GPT-3 paper
Wei et al. · Chain of Thought
Wikipedia · Neural Networks
arXiv · Survey papers
SEO aggregators · Ad-heavy sites · Duplicates
Every search call runs a full pipeline — no configuration required. You get back clean, ranked, structured results your model can use immediately.
Query Processing
Intent analyzed and expanded to optimal search terms
Web Discovery
Live retrieval from authoritative index sources
Quality Filtering
Low-quality and off-topic content removed
Content Extraction
Full text parsed and cleaned from each source
Semantic Ranking
Results re-ordered by relevance to your query
{
"query": "latest transformer architecture research",
"results": [
{ "title": "FlashAttention-3: Fast and Accurate...", "score": 0.97, "url": "https://arxiv.org/..." },
{ "title": "Ring Attention with Blockwise Transformers", "score": 0.91, "url": "https://arxiv.org/..." },
{ "title": "Mamba: Linear-Time Sequence Modeling...", "score": 0.88, "url": "https://arxiv.org/..." }
],
"cached": false
}Customer logos
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Get early access →Testimonials
Sift is a new business. We don't have customer testimonials yet — and we'd rather be honest about that than invent them. We're looking for early customers who want to shape the product and become our first success stories. If that's you, we'd love to hear from you.
First $1 free — no credit card required. Enough to make ~200 search calls and explore every feature.
Per-operation pricing
Retrieves, filters, and ranks live web content for a natural-language query. Includes quality filtering, deduplication, and semantic ordering.
Each additional source page scraped and extracted beyond the base set included with the search call.
A semantic re-ordering pass that scores and reorders results by relevance to your exact query using a cross-encoder model.
Structured data extraction from results using a custom JSON schema you define. Returns typed, schema-aligned output ready for your application.
Join builders, founders, and AI teams who ship faster with clean, grounded web data on every query.