Skip to content
Install MCP

Technology

Zipscore.ai

Last fetched

Zipscore.ai is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under analytics, with a published adopter count of 10 hostnames.

Profile

Category
analytics
Broader grouping
intelligence and analytics
Published adopter count
10
Vendor
zipscore.ai

Zipscore.ai is an AI-powered demographic intelligence platform that enables consumer-facing businesses to analyze demographic data and identify target audiences by zip codes or postal codes. It provides access to over 75,000 locations in the United States and Germany, allowing users to quickly locate target market areas in under 30 seconds for improved market analysis and decision-making.

Vendor site: https://www.zipscore.ai/

Sample adopters

10 hostnames WhisperGraph observed running Zipscore.ai, a sample of the 10 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 10 Zipscore.ai adopters, not of all 10 published adopters. A hostname counts once per network.

Related pages

Pivot from Zipscore.ai into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.