We have two types of quotas in Kuration AI: Discovery and Research.
(a) Discovery
This applies when you discover a company using any of our Initial List Builder tools, such as scraping Sales Navigator, web directories, or Google Maps.
Each company added this way counts as 1 discovery.
For example, if you use the Google Maps scraper, it will cost you 1 discovery credit for 1 result, 100 companies = 100 discovery credits.
You're essentially sourcing leads, and each discovery includes basic data points to help you filter and qualify your list.
Typical data points from discovery:
Company name
Website
Industry
Company size
Location
Reviews
Description
These fields are enough to help you filter or remove irrelevant companies or contacts early in the process.
(b) Research
This applies when you run deeper research on a profile using our enrichment tools.
You can add as many data points as you like—whether 1 or 100+, it will still count as 1 research.
For example if you upload a list with 100 companies, and add 5 tools/ columns. The 5 enrichments per company will count for 1 research credit.
If you add 1 column and run the tool for all companies i.e 100 companies and use the phone number validator, this will consume 100 research credits.
From the above screenshot, if you enrich individual companies with the 'Phone Number Validator and ONLY use that tool, a research credit will be deducted for each company phone number validated.
If you add a column and have 10 or 20 tools for each company, you will only use one research credit, see example in the screenshot below:
Typical data points only available through research:
Company’s remote work policy
Business model (B2B or B2C)
University affiliation
Whether the CEO is based in a specific location (e.g. Hong Kong)
Presence of a Head of Partnerships
Web traffic
Ad tracking data
This is the layer where your custom prompts and detailed analysis come into play.