Example task · Glasser
Which EU fintechs raised a Series A in 18 months, under 200…
Up to 10 matching companies, each with raise and headcount.
Try it with your agent
set up https://glasser.ai/SKILL.md, then Find companies matching my funding and headcount criteria. Ask for my industry, market, funding stage, time period and company size first. Return matching companies with funding and headcount details.Quick send toClaude.ai
Claude.ai- Runs
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How this example works
An illustrative example of what you can do with Glasser.
Used People Data Labs to search the PDL company dataset with an Elasticsearch or SQL query.
Result overview
Up to 10 matching companies, each with raise and headcount.
- Illustrative rows
- 6
Company Search
People Data Labs
6 shared records
| Company | Stage / raised | HQ | Headcount |
|---|---|---|---|
| Kestrel Pay | Series A · €14M | Lisbon | 62 |
| Nordvault | Series A · €22M | Stockholm | 134 |
| Tilda Finance | Series A · €9M | Amsterdam | 41 |
| Cobalt Ledger | Series A · €18M | Berlin | 88 |
| Frame Treasury | Series A · €11M | Dublin | 37 |
| Meridian Rails | Series A · €25M | Paris | 151 |
Illustrative results. Data costs are estimates.