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Research US stocks — search SEC filings, hear earnings calls, and track 13F, insider & congress trades. Plus ALVIS, an AI analyst that cites every number.

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Website, pricing, platforms and company facts side by side.
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| Website | equibles.com | open-gpt.app |
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| Company | Startup from Portugal · 1 - 9 employees · 2025 | — |
| Listed in | — |
In their own words, as submitted to SaaSHub.


Equibles is a US stock research platform that turns SEC filings, earnings calls, and regulatory disclosures into structured, verifiable data. Every US stock page includes: Financial statements and company-specific KPIs extracted from XBRL filings, with non-GAAP bridges Earnings calls with audio...
No description of https://open-gpt.app/ yet.
What each product offers, as listed by its team.


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As answered by people managing Equibles and https://open-gpt.app/.
Equibles's answer
Equibles extracts the answers raw data feeds skip — company-specific KPIs (subscribers, deliveries, ARPU…), forward guidance, and non-GAAP bridges — from SEC filings and earnings calls, and every figure is cited back to the source document.
The same dataset is available three ways: the website, ALVIS (an AI analyst that answers with charts and citations), and an MCP server + REST API so Claude, ChatGPT, or your own code can work with primary-source data directly.
Equibles's answer
Most market-data products stop at standardized statements and prices. Equibles adds the layer investors actually open filings for:
There is a usable free tier, and every number links back to the filing it came from.
Equibles's answer
Equibles started in 2025 from a simple frustration: AI assistants talk about stocks confidently while being disconnected from the primary sources. So we built the data layer first — pipelines that continuously ingest and structure SEC filings, earnings calls, and ownership disclosures — and then put ALVIS (an AI analyst) and an MCP server on top, so both people and their AIs get answers that cite the underlying document.
Equibles's answer
Equibles's answer
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