Metricle

Public Records & Filings alternative data provider · 1 listed dataset

Metricle is a data-provider name associated with the metricle.com domain, whose current publicly readable content consists only of the title "METRICLE AI".[1] The site does not expose a product description, data catalogue, methodology, customer information, contact details, or corporate biography in the material retrieved for this review.

A third-party Datarade profile categorizes Metricle as a United States provider of stock-market data for hedge-fund use.[2] That profile is explicitly marked as automatically generated, unclaimed, and unaffiliated with Metricle. It therefore supplies evidence of an earlier market classification, not sufficient confirmation of the company's present product or operating status.

What Can Be Verified

The current official page verifies only that the domain presents the Metricle AI name.[1] It does not state whether Metricle sells datasets, software, research, consulting, or another AI-related service. No assertion about sources, geographic coverage, update frequency, delivery format, pricing, or intended users can be supported from the official page.

Datarade's directory entry says that Metricle offered stock-market data and names hedge funds as a use case.[2] Because the listing contains no dataset record, field description, sample, source inventory, or update schedule, those labels cannot be expanded into a reliable account of the underlying service.

Products and Access

No named product, API, bulk feed, web application, trial, or downloadable sample is visible on the fetched official page.[1] Datarade reports that Metricle has not published pricing and suggests contacting the provider, but its own profile also states that Metricle cannot receive messages through the marketplace.[2] Accordingly, neither a current commercial offering nor a route to purchase it could be verified from the reviewed pages.

Historical Web Record

The Internet Archive availability service identifies a successful snapshot of metricle.com dated 28 May 2023.[4] This confirms that the domain had an archived web presence by that date, but the availability response does not itself describe the historical product, ownership, or organization. It also does not establish a founding date, since a domain capture can postdate a company's formation or relate to a different use of the name.

Verification Limits

Independent public evidence is sparse. Datarade's unclaimed profile provides only broad category labels,[2] while a request for the apparent Crunchbase organization page returned an access-denied response and yielded no usable company details.[3] The official site provides no claims that could be compared with either directory.

For these reasons, this article does not assign Metricle a founding date, headquarters beyond Datarade's broad United States designation, founders, financing, clients, employee count, or specific dataset coverage. It also does not infer that the Metricle AI branding represents a continuing version of the stock-market-data service listed by Datarade. Those points remain unverified from the sources retrieved.

More datasets from Metricle

Metricle lists 1 datasets on this encyclopedia. The most representative listings:

More about Public Records & Filings

Public Records & Filings is one of the signal families covered by The Alternative Data Encyclopedia, with 28 providers and 396 datasets listed in the register. For how the signal is generated, its caveats and the compliance considerations, and the full provider list, see the category article.

Further reading

  • Open vs commercial alternative dataWhat free and open datasets can and cannot do: where public data rivals paid panels, where it cannot compete, and how open sources fit a professional research workflow.
  • Free alternative data sourcesThe practical list of free alternative-data sources for investors: public filings, official statistics, satellite and earth observation, on-chain data, web archives and open registries, what each covers, what it costs in engineering effort, and where free data falls short.