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Technology

Fitch Ratings

Last fetched

Fitch Ratings is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under advanced analytics and data science, with a published adopter count of 273 hostnames.

Profile

Category
advanced analytics and data science
Broader grouping
intelligence and analytics, accounting and finance
Published adopter count
273
Vendor
fitchratings.com

Fitch Ratings is a global credit rating agency that provides independent financial assessments of corporations, financial institutions, sovereign governments, and structured finance entities. It offers credit ratings, research, and analytics to help investors evaluate credit risk and make informed investment decisions.

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

Sample adopters

20 hostnames WhisperGraph observed running Fitch Ratings, a sample of the 273 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Fitch Ratings adopters, not of all 273 published adopters. A hostname counts once per network.

Related pages

Pivot from Fitch Ratings 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.