The most capable AI research engine on the web. Describe any dataset — our agents will build it.
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Describe the data you need in plain language. AI agents will scrape the web, query API providers, verify every result, and deliver a structured dataset — ready to act on.
| # | Company | Size | Website | Contact | Industry |
|---|
You can make a dataset of any kind. Across any subject, any source, any level of detail. Just describe what you're looking for.
Titles, verified emails, company signals, LinkedIn profiles. Every list comes back ready for outreach, filtered to your exact targeting and cross-verified against leading data providers.
“Heads of engineering at Series B fintech startups who've posted about hiring on social media in the last 30 days”
| Name | Title | Company |
|---|---|---|
| Sarah Chen | Head of Eng | Flux Ledger |
| Marcus Tan | VP Engineering | Ledger Loop |
| Priya Rao | Head of Eng | Trellis Pay |
| James Okafor | VP Platform | Becon |
| Lena Park | VP Engineering | Polaris Fin |
Pricing pages, job boards, marketplaces, review sites. Anything on the web comes back as a clean dataset, structured exactly how you want.
“Top 20 rated AI tools on Product Hunt this year, with a breakdown of their pricing model and tiers”
| Product | Model | Subscription |
|---|---|---|
| Lindy | Per-task + seat | Yes |
| Dust | Per-user | Yes |
| Crew AI | Flat tiered | Yes |
| Relevance AI | Usage-based | No |
| Vapi | Per-minute | No |
Deals on watches, newly discovered galaxies, emerging political candidates — the engine will create rows on any subject. Every list is compiled from real data with references.
“Vintage Omega Speedmaster Professional 'Moonwatch' from 1969-1975 on eBay under $5,000, with box and papers”
| Reference | Year | Listing |
|---|---|---|
| Ref. 145.022 | 1972 | eBay (US) |
| Ref. 145.012-67 | 1969 | eBay (DE) |
| Ref. 145.022-71 | 1971 | eBay (UK) |
| Ref. 145.022-74 | 1974 | eBay (JP) |
| Ref. 145.022-78 | 1975 | eBay (IT) |
Browsers, providers, scrapers — every layer of the data stack, running together so you don't have to glue them yourself.
Browsers that handle JavaScript, dynamic content, and the toughest site protections. If it's on the public web, our agents can reach it.
People search, company lookup, local businesses, job boards, and contact enrichment. Verified emails and phone numbers via waterfall across 30+ providers.
Social media, e-commerce, real estate, job boards, directories, and more. Pre-built and maintained.
Clay and Apollo give you a list, then you filter, clean, and enrich it yourself, often across several tools. Dataset Labs is one step: you describe what you want, our agents research each row, and a clean verified dataset comes back. No stitching, no manual enrichment, no per-row fiddling.
Every row is verified before it lands in your table. If we can't confirm a real website, a live email, or a working phone, the row doesn't ship and you aren't charged for the attempt. If it's in your final list, it was independently confirmed.
A mix of public web sources and licensed data providers. Every value is cited, so you can see exactly where any piece of data came from.
You buy credits. Each row you receive costs credits depending on the research that went into it. Credits can be topped up one-off or through a monthly plan. New accounts start with free credits to try things out.
First rows start landing in the table within a couple minutes. Full lists finish anywhere from minutes to about an hour depending on size and enrichment depth, but rows arrive faster than you'd review them anyway. You can use the data while it's still generating.
Yes. Everything you upload or generate is encrypted in transit and at rest, scoped to your account, and never used to train AI models. Delete a project or your account and it's gone. We don't retain data we don't need.
Yes. Any format, any file. CSV, Excel, PDF, Word, JSON, screenshots, database dumps. Our agents figure out how to read it and use it as context or as the starting list.
Yes. That's one of the most common use cases. Sales teams and founders build their targeted prospect lists here.



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