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Technology

Vaudit

Last fetched

Vaudit is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under ad verification and optimization, with a published adopter count of 2 hostnames.

Profile

Category
ad verification and optimization
Broader grouping
advertising, intelligence and analytics, security
Published adopter count
2
Vendor
vaudit.com

Vaudit is a real-time AI audit engine designed for brands and agencies to detect and document digital media waste. It provides verification of advertising spend and helps recover lost value by increasing transparency and efficiency in digital media operations. This enables better optimization of marketing budgets and reduces financial leakage in digital advertising campaigns.

Vendor site: https://www.vaudit.com/

Sample adopters

2 hostnames WhisperGraph observed running Vaudit, a sample of the 2 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 2 Vaudit adopters, not of all 2 published adopters. A hostname counts once per network.

Related pages

Pivot from Vaudit 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.