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Equibles VS Codegres.org

Compare Equibles VS Codegres.org and see what are their differences

Equibles

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

Rating
0 reviews
Pricing
Open source Freemium $24.99 / Monthly (Pro — Founding Member price; $49.99 after promo)
Promote on VibeVoted
Alternatives Is it good?
Codegres.org

Learn Frontend Codegres | Custom Website, Apps

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
Eddyter
Build and integrate a WYSIWYG editor in minutes. Eddyter offers fast setup, developer-friendly APIs, and seamless content editing for modern web apps today. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Equibles seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
2 vs 0
Financial Data APIs popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Equibles
Codegres.org
Website equibles.com codegres.org
Pricing
Open source Freemium $24.99 / Monthly (Pro — Founding Member price; $49.99 after promo) Official pricing
—
Platforms
Web SaaS
—
Company Startup from Portugal · 1 - 9 employees · 2025 —
Listed in
Financial Data APIs Stock Market Finance Developer Tools Fintech Investing Trading Stocks Finance Data API +6
Online Learning Online Education Online Courses CSS +1

About Equibles and Codegres.org

In their own words, as submitted to SaaSHub.

Equibles
Codegres.org

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...

Read more about Equibles

No description of Codegres.org yet.

Features and specs

What each product offers, as listed by its team.

Equibles 10 features
Codegres.org 4 features
  • AI Stock Analyst
    ALVIS answers plain-English questions with interactive charts and cites every figure to the source filing
  • MCP Server
    Connect Claude, ChatGPT, or any MCP client to 90+ US finance data tools
  • REST API
    Public JSON API with API-key authentication covering the full dataset
  • SEC Filings Search
    Full-text search and AI Q&A across 10-K, 10-Q, 8-K, proxies, and more
  • Earnings Calls
    Audio playback, speaker-attributed transcripts, and AI-generated briefs
  • Financials & KPIs
    XBRL-extracted statements, segment revenue breakdowns, non-GAAP bridges, and guidance
  • Ownership Data
    13F institutional holdings, insider (Form 4) trades, and congressional trades
  • Short Data
    Short interest, daily short volume, fails-to-deliver, and squeeze scores
  • Stock Screener
    Screen US stocks across fundamentals, ownership, and price data
  • Macro Data
    FRED economic indicators, CFTC positioning, put/call ratios, and VIX history
  • User-Friendly Interface
    Codegres.org offers a clean and intuitive interface, making it easy for users to navigate and find the information they need.
  • Rich Resource Library
    The platform provides a vast library of coding resources and tutorials that cater to both beginners and advanced programmers.
  • Community Support
    Users can benefit from an active community of developers who share tips, troubleshoot problems, and collaborate on projects.
  • Free Access
    Codegres.org offers many of its features and resources for free, making it accessible to a wide audience.

Possible disadvantages

  • Limited Advanced Features
    While great for beginners, Codegres.org might lack some advanced features and tools that experienced developers look for.
  • Occasional Downtime
    Users have reported experiencing occasional downtime or slow loading periods on the site.
  • Ad-Supported Content
    The free version of the platform includes advertisements, which can be distracting to some users.

Analysis

An editorial look at what each product does well and who it suits.

Equibles
Codegres.org

No analysis of Equibles yet.

Overall verdict

  • I don't have verified information about Codegres.org to confirm its legitimacy, quality, or safety. There is no reliable data in my training set about this specific domain, its ownership, service offerings, or user reputation, so I cannot responsibly claim it is 'good' or 'bad'.

Why this product is good

  • No verifiable company information, reviews, or track record found for this specific domain.
  • Unable to confirm SSL/security practices, business registration, or trust signals typically used to vet a service.
  • Domain names can be repurposed or newly created, making historical reputation data unreliable.
  • Cannot verify feature claims, pricing, or customer support quality without direct, current access to the site.

Recommended for

  • Users should independently verify the site using tools like WHOIS lookup, SSL checker, and Trustpilot/Reddit reviews before use.
  • Not recommended to input sensitive personal or payment information until legitimacy is confirmed.
  • Best suited for cautious research rather than an endorsement at this time.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Equibles
Codegres.org
100% 100%
Financial Data APIs
0% 0%
0% 0%
Online Education
100% 100%
100% 100%
Stock Market
0% 0%
0% 0%
Online Courses
100% 100%

Questions & Answers

As answered by people managing Equibles and Codegres.org.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

Equibles's answer

Most market-data products stop at standardized statements and prices. Equibles adds the layer investors actually open filings for:

  • Company-specific KPIs, guidance history, and non-GAAP reconciliations extracted from the source documents
  • Earnings calls with audio and speaker-attributed transcripts
  • 13F institutional, insider (Form 4), and congressional ownership data, cross-linked per stock
  • A free MCP server so your AI assistant works with the same primary-source data

There is a usable free tier, and every number links back to the filing it came from.

What's the story behind your product?

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.

How would you describe the primary audience of your product?

Equibles's answer

  • Individual investors and analysts researching US equities who want numbers they can trace to a filing
  • AI-forward users who want Claude, ChatGPT, or another assistant grounded in primary-source financial data via MCP
  • Developers building finance tools on a JSON REST API

Which are the primary technologies used for building your product?

Equibles's answer

  • Backend: .NET / ASP.NET Core with EF Core and MassTransit background pipelines
  • Database: PostgreSQL with pgvector (embeddings) and BM25 full-text search
  • AI: LLM extraction lanes with independent validation passes, plus self-hosted embedding and transcription (Whisper) models
  • Frontend: server-rendered MVC with Tailwind CSS; React for the ALVIS chat
  • Infra: Docker Compose; the modular data foundation is open source on GitHub

User comments

Share your experience with using Equibles and Codegres.org. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Equibles 2 mentions
Codegres.org 0 mentions
  • Broadcom and Ford dropped NetIncomeLoss from their 2025 XBRL: a quick check for SEC tag changes
    I wanted to know how common that is, so I checked every SEC filer. I build Equibles, which serves these SEC facts to ChatGPT and Claude over MCP, but everything below uses only SEC's free public API, and the script at the end runs... - Source: dev.to / about 1 month ago
  • Diff two 13F filings by CUSIP (and check an AI's "what did Berkshire buy?" answer)
    A common question to put to an AI assistant is "what did this fund buy last quarter?", and the answer comes from Form 13F-HR. I build Equibles, which has an MCP server that answers it. In this post I check one of its answers, Berkshire... - Source: dev.to / about 1 month ago

Tracking Codegres.org since Nov 2022.

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