Skip to content
Install MCP

Technology

BidScaler

Last fetched

BidScaler is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under ad verification and optimization, with a published adopter count of 4 hostnames.

Profile

Category
ad verification and optimization
Broader grouping
advertising
Published adopter count
4
Vendor
bidscaler.com

BidScaler is a software tool designed to facilitate sub bid instructions for businesses engaged in digital advertising. It enables users to manage and automate sub bids within advertising campaigns, optimizing bid strategies to achieve better ad placements and performance. The tool supports advertisers in streamlining bid management processes to enhance campaign efficiency.

Vendor site: https://bidscaler.com/features/

Sample adopters

4 hostnames WhisperGraph observed running BidScaler, a sample of the 4 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 4 BidScaler adopters, not of all 4 published adopters. A hostname counts once per network.

Related pages

Pivot from BidScaler 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.