Skip to content
Install MCP

Technology

FinaMetrica

Last fetched

FinaMetrica is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under accounting and finance, with a published adopter count of 20 hostnames.

Profile

Category
accounting and finance
Broader grouping
accounting and finance, intelligence and analytics
Published adopter count
20
Vendor
finametrica.com

FineMetrica was a financial risk profiling and suitability assessment platform used by financial advisors and wealth managers to evaluate clients’ risk tolerance and support compliant investment recommendations. It was acquired by Morningstar in 2016 and integrated into Morningstar’s risk profiling and advisory solutions.

Vendor site: http://www.finametrica.com

Sample adopters

20 hostnames WhisperGraph observed running FinaMetrica, a sample of the 20 published adopters.

Hosting concentration

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

Related pages

Pivot from FinaMetrica 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.