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Amazon Mechanical Turk

Last fetched

Amazon Mechanical Turk is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under human capital management, with a published adopter count of 103 hostnames.

Profile

Category
human capital management
Broader grouping
human resources
Published adopter count
103
Vendor
amazon.com

Amazon Mechanical Turk (MTurk) is a crowdsourcing platform that connects requesters with a vast pool of workers. It enables businesses to outsource microtasks, such as data validation and content moderation. Workers complete these tasks for payment, allowing for scalable solutions in various fields, including research and machine learning.

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

Sample adopters

20 hostnames WhisperGraph observed running Amazon Mechanical Turk, a sample of the 103 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Amazon Mechanical Turk adopters, not of all 103 published adopters. A hostname counts once per network.

Related pages

Pivot from Amazon Mechanical Turk 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.