Software Alternatives & Startups

Equibles VS Diffee

Compare Equibles VS Diffee 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)
Diffee

Instant visual diffing between websites

Rating
0 reviews
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
Diffee
Website equibles.com diffee.me
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

About Equibles and Diffee

In their own words, as submitted to SaaSHub.

Equibles
Diffee

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 Diffee yet.

Features and specs

What each product offers, as listed by its team.

Equibles 10 features
Diffee 0 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

No features have been listed yet.

Videos

Walkthroughs and reviews on video.

Equibles 0 videos + Add
Diffee 3 videos + Add

No Equibles videos yet. You could help us improve this page by suggesting one.

Mr. Diffee Reviews The Tattooed Sales Guy

More videos

  • - Diffee Ford Lincoln
  • - The Difference | Ford F-150 | Diffee Ford Lincoln

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
Diffee
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Equibles and Diffee.

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 Diffee. 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
Diffee 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 / 27 days 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 / 28 days ago

Tracking Diffee since Mar 2021.

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