
OpenRouter
APIVAI
AunuCore.bond
APIClan.us
Api.Airforce
boldrouter
Requesty.ai
OpenAI-compatible multi-model API for GPT, Claude, Gemini, DeepSeek and more.

Firecrawl
DataForSEO
Bright Data
ScrapingBee
tavily
SearchApi.io
Scraper API
Access real-time results from Google and 100+ search engines with a simple API. No proxies, CAPTCHAs, or parsing required.

Which is more popular?
Based on our record, SerpApi seems to be more popular. It has been mentioned 108 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | mandapi.com | serpapi.com |
| Pricing | ||
| Company | 2026 | Startup from the United States · 50 - 99 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


MandAPI is an OpenAI-compatible multi-model AI API gateway for developers. It provides unified access to GPT, Claude, Gemini, DeepSeek and other AI model families through a single API endpoint. Key features include: - OpenAI-compatible API - Multiple AI model providers - Streaming and...
We help you automate gathering data from search engines like Google, Bing, or Yahoo. What's cool about SerpApi is that it handles all the scraping complexities for you, like dealing with CAPTCHAs, managing IP addresses, and parsing data into a structured JSON. So you don't have to worry...
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of MandAPI yet.
Overall verdict
Why this product is good
Recommended for
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OpenAI Function Calling - Connect AI to the Internet
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing MandAPI and SerpApi.
MandAPI's answer
MandAPI is designed for developers who want a simple way to use multiple AI providers through one familiar API. Its OpenAI-compatible interface makes migration straightforward, while unified billing, model discovery, transparent pricing and support for multiple model families reduce the operational work required to manage several AI APIs separately.
SerpApi's answer:
We provide more search engines under one subscription.
MandAPI's answer
MandAPI is primarily built for software developers, indie hackers, AI startups, SaaS teams, agencies and technical teams that need programmatic access to multiple large language models through a unified API.
SerpApi's answer:
Developers/Companies who need data from search engines.
MandAPI's answer
MandAPI is built around an OpenAI-compatible REST API architecture with streaming support, API-key authentication, multi-provider routing, usage metering and model catalog services. The production platform uses containerized cloud infrastructure, reverse proxying and CDN services for deployment and traffic delivery.
SerpApi's answer:
Ruby on Rails and MongoDB
MandAPI's answer
MandAPI combines multiple AI model families behind a single OpenAI-compatible API. Developers can access GPT, Claude, Gemini, DeepSeek and other models without maintaining separate integrations for every provider. It also provides transparent usage-based pricing, model discovery, usage tracking and developer tooling.
SerpApi's answer:
We're the first web scraping company that focus on scraping search engines.
MandAPI's answer
MandAPI started from a simple problem: developers increasingly need access to several AI model providers, but every provider has different APIs, pricing systems and account requirements. MandAPI was built to simplify that fragmented experience by providing a single OpenAI-compatible interface for multiple model families, with transparent pricing and developer-focused tooling.
SerpApi's answer:
Back in 2017, Julien Khaleghy, the founder of SerpApi, built an iOS app that can analyze data from a picture. iOS didn't have a proper machine learning framework back then. It was challenging: iPhones' RAM were limited, no GPU or no dedicated chip acceleration were available, using only CPU was painfully slow, and compiling/porting C code from machine learning framework like Tensorflow or Caffe to iOS wasn't straightforward. Oddly, all of this wasn't the most difficult part of this project. Collecting images from Google Images was.
In these projects, 80% of his time ended up being spent on scraping and parsing Google Images. And maybe only 20% on actual machine learning model training, UI design of the actual apps, and iOS programming. This is how SerpApi was born.
SerpApi's answer:
Share your experience with using MandAPI and SerpApi. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking MandAPI since Oct 2026.
Like every agent, it struggles with web search. That's why we're building a SerpApi integration for it. - Source: dev.to / 1 day ago
> > _Ways to get Markdown output_ An application can use different response formats for different tasks. For example, a research agent could consume Markdown for a broad search-and-summarize step, while a separate data collection... - Source: dev.to / 7 days ago
SerpApi | https://serpapi.com | Junior to Senior Fullstack Engineer multiple positions | Customer Success Engineer | Hiring Coordinator | Python/Ruby/PHP/Js/Rust/Kotlin/C#/Crystal/Nim/Elixir Developer Advocate positions | Based in... - Source: Hacker News / 13 days ago
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