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mbuzz.co VS Modellix

Compare mbuzz.co VS Modellix and see what are their differences

mbuzz.co

Multi-touch attribution that shows the model behind the number. 8 models compared side-by-side, a SQL-like DSL to write your own, and open-source SDKs for Ruby, Node, Python, and PHP. Runs server-side. Your data, not theirs.

Rating
0 reviews
Pricing
Freemium
Alternatives Is it good?
Modellix

All leading AI models. One API. Zero hassle.

Rating
0 reviews
Pricing
Paid Free trial
Alternatives Is it good?
PromptBrake
Automated AI security testing for agents, chatbots, and APIs. Find prompt injection, data leaks, and unsafe behavior before launch. sponsored

Which is more popular?

Marketing Attribution popularity
100% vs 0%
alternatives listed
12 vs 3

Base details

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

mbuzz.co
Modellix
Website mbuzz.co modellix.ai
Pricing
Freemium Official pricing
Paid Free trial Official pricing
Platforms
Web REST API Ruby Python PHP Node JS Shopify +4
—
Company Startup from Australia · 1 - 9 employees · 2026 Startup from Singapore · 500 - 999 employees · 2026
Listed in
Marketing Analytics Ad Analytics Advertising Optimization Attribution Tracking Marketing Attribution Marketing Advertising Digital Marketing +5
Marketing Developer Tools APIs AI Image Generator AI Video Generator Text To Image Image-to-video Text To Video AI API AI Models LLM API LLM Gateway +9

About mbuzz.co and Modellix

In their own words, as submitted to SaaSHub.

mbuzz.co
Modellix

mbuzz is multi-touch attribution for technical marketers who've stopped trusting their dashboard. Here's the thing nobody selling you attribution wants to say out loud: every tool runs a model under the hood, and the number it reports isn't "the data." It's that model's opinion of the data. Same...

Read more about mbuzz.co

Modellix is a unified AI model API platform that aggregates the world's leading generative models — including Google Veo 3.1, GPT Image, Grok Imagine, Seedream 5.0, Seedance 2.0, Kling V3, Wan 2.7, Hailuo 2.3, Vidu Q3, PixVerse V6, and more — into a single API key and billing dashboard....

Read more about Modellix

Features and specs

What each product offers, as listed by its team.

mbuzz.co 5 features
Modellix 8 features
  • Multi-model attribution
    8 models side-by-side: first-touch, last-touch, linear, time-decay, position-based, Markov, Shapley, data-driven
  • Attribution DSL
    SQL-like language for editing / writing your own attribution models
  • Lossless tracking
    Server-side capture of 30-40% more touchpoints than client-side trackers lose to ad blockers
  • LTV / CLV mode
    Toggle attribution reports between transaction count and customer lifetime value views
  • Open-source SDKs
    Ruby, Node, Python, PHP, Shopify, server-side GTM
  • One API Key for Everything
    One key covers both media generation and the LLM gateway; every media model shares the same flat request structure, so adding or switching models needs no integration rewrite
  • LLM Gateway
    Call OpenAI, Anthropic, Google, DeepSeek, Qwen, Moonshot, xAI, and ZAI language models over OpenAI- and Anthropic-compatible endpoints; Cursor, Claude Code, Codex, and standard SDKs connect with a base URL override
  • Browser Playground
    Full-featured playground on every model page; test, compare, and generate without code
  • AI Prompt Optimizer
    Built-in tool that refines and expands prompts for better generation results
  • Transparent pay-as-you-go pricing
    Every model's price visible before you call; no subscriptions, no hidden fees
  • Complete Call Logs
    Every request traceable: inputs, outputs, and cost per call for debugging and billing
  • Agent Skill & CLI
    Integrate into AI agents, low-code workflows, or automate from the terminal
  • Enterprise-Grade Reliability
    SOC 2 Type 2, ISO 27001 & ISO 27701 certified; backed by Aurora Mobile (NASDAQ: JG)

Analysis

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

mbuzz.co
Modellix

Overall verdict

  • I don't have verified, up-to-date information about mbuzz.co specifically, so I can't confirm its quality, legitimacy, or reputation. Before using it, I'd recommend checking independent reviews, verifying business registration details, looking for user testimonials on third-party sites, and checking domain age and trust signals via tools like WHOIS or Trustpilot.

Why this product is good

  • No verified data available on this specific domain's services, pricing, or customer satisfaction
  • Unable to confirm business legitimacy, ownership, or operational history
  • Cannot assess user reviews, complaint patterns, or refund/support track record without current data
  • Website content and offerings may have changed since any prior indexing, making assessment unreliable

Recommended for

  • Users willing to do independent due diligence such as checking Trustpilot, Reddit, or BBB reviews
  • Those comfortable verifying site security (HTTPS, privacy policy, contact information) before engaging
  • Anyone considering a purchase or signup who should start with small transactions to test reliability
  • Users who can cross-check company registration and reviews through third-party verification tools

No analysis of Modellix yet.

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
mbuzz.co
Modellix
100% 100%
Marketing Attribution
0% 0%
0% 0%
Developer Tools
100% 100%
100% 100%
Attribution Tracking
0% 0%
0% 0%
APIs
100% 100%

Questions & Answers

As answered by people managing mbuzz.co and Modellix.

What makes your product unique?

mbuzz.co's answer

Every attribution tool runs a model under the hood and reports its number like it came from physics. mbuzz is the only one that shows the model. Eight of them side by side, plus a SQL-like DSL to edit or write your own. You stop arguing about which channel works and start arguing about which model you should trust.

Why should a person choose your product over its competitors?

mbuzz.co's answer

Dreamdata, HockeyStack, and Northbeam all ship with a proprietary "data-driven" model you can't see inside. You pay $1,400–$5,000 a month to trust their math. mbuzz runs eight models you can inspect, lets you edit the logic in a SQL-like DSL, keeps your data exportable on every plan, and starts at $0. For a $1–100M company spending $20K–$1M a month on ads, that's the difference between renting an attribution tool and owning an attribution stack.

How would you describe the primary audience of your product?

mbuzz.co's answer

Technical marketers, marketing ops, growth engineers, and data-savvy CMOs at startups and mid-market SaaS, DTC, fintech, and healthtech companies spending $20K–$1M a month on paid media. Specifically the ones who've stopped trusting their dashboard — who want to audit the math themselves, not hear "trust our algorithm."

Modellix's answer:

AI developers, AI SaaS builders, indie developers, cross-border e-commerce teams, marketing agencies, content creators, digital product teams, ISVs, and enterprises integrating AI media generation

What's the story behind your product?

mbuzz.co's answer

Years of wrestling with the limitations of various existing solutions, platform-inflated ROAS, and enterprise attribution tools that cost more than the budgets they were measuring. Every tool I tried picked one model and hid the math. I wanted to compare models, argue with them, and write my own rules — so I built one. mbuzz is the attribution platform I wished existed when I was trying to explain channel performance to a CFO who didn't believe the Meta pixel.

Modellix's answer:

I am part of the Modellix team, focused on making AI model access simpler for developers and businesses. The goal is to provide one reliable platform where teams can explore, compare, and integrate leading AI models without the hassle of managing multiple APIs.

Which are the primary technologies used for building your product?

mbuzz.co's answer

Ruby on Rails (backend + dashboard), PostgreSQL, Sidekiq for background jobs, Stimulus/Turbo for the frontend. Open-source SDKs in Ruby, Node, Python, and PHP. Deployed via Kamal on DigitalOcean.

Modellix's answer:

Node.js, Python, React, Next.js, TypeScript, PostgreSQL, Redis, AWS, Docker, Stripe, Cloudflare

User comments

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