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TweetAPI VS Supermemory

Compare TweetAPI VS Supermemory and see what are their differences

TweetAPI

Twitter data API for developers and researchers: 82 endpoints, pay as you go from $5, SDKs, MCP, 100 free requests.

Rating
0 reviews
Pricing
Paid Free trial $5 / One-off (10,000 requests ($0.0005 each), no subscription. Plans from $17)
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Alternatives Is it good?
S
Supermemory

Memory and continual learning for agents

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Rating
0 reviews
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Alternatives Is it good?
superbot.gg
Try superbot free in your browser, no account: superbot.gg/chat. Your own AI agent: one model that makes pictures, video, songs, 3D and apps, browses the web and uses your computer, on desktop and phone. sponsored

Which is more popular?

Based on our record, Supermemory seems to be more popular. It has been mentioned 4 times since March 2021.

social mentions
0 vs 4
APIs popularity
100% vs 0%
alternatives listed
18 vs 208

Base details

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

TweetAPI
S
Supermemory
Website tweetapi.com supermemory.ai
Pricing
Paid Free trial $5 / One-off (10,000 requests ($0.0005 each), no subscription. Plans from $17) Official pricing
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Platforms
REST API Python Node JS MCP +1
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Listed in
APIs Twitter Tools Social Media Data MCP Servers Twitter Developer Tools API Tools Social Media Tools Twitter Analytics +6
AI Developer Tools AI Tools Productivity AI Memory MCP Servers +3

About TweetAPI and Supermemory

In their own words, as submitted to SaaSHub.

TweetAPI
S
Supermemory

TweetAPI is an independent third-party Twitter data API for developers, researchers, startups, agencies, and analytics teams. Use 82 documented REST endpoints to access posts, profiles, search, followers, lists, communities, and Spaces, plus account-authorized actions such as posting, engagement,...

Read more about TweetAPI

Agents need memory. supermemory is building the default engine for memory and continual learning for agents, available through an API, plugins, and MCP. Memory that keeps learning. supermemory extracts and dreams on the context of every user, task, and tenant, stores it in a vector-graph...

Read more about Supermemory

Features and specs

What each product offers, as listed by its team.

TweetAPI 10 features
S
Supermemory 0 features
  • API Coverage
    82 documented REST endpoints for profiles, posts, search, followers, lists, communities, Spaces, interactions, and DMs.
  • Pay as you go
    From $5 for 10,000 requests ($0.0005 per request), no subscription. Subscribers can top up anytime.
  • Batch lookups
    Up to 50 profiles or 200 posts per request.
  • Payments
    Card or crypto.
  • Authentication
    API-key authentication with JSON responses and cursor-based pagination.
  • Free Trial
    100 one-time API requests with no credit card required.
  • Python SDK
    Maintained Python client with pagination, retries, rate-limit handling, and structured errors.
  • Node.js SDK
    Maintained Node.js and TypeScript client with pagination, retries, and typed errors.
  • Hosted MCP
    OAuth-protected agent access to current docs and public-data tools at mcp.tweetapi.com.
  • Service Status
    Public uptime, response-time, and incident history.

No features have been listed yet.

Analysis

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

TweetAPI
S
Supermemory

No analysis of TweetAPI yet.

Overall verdict

  • Supermemory is a solid tool for building a personal or organizational knowledge base, offering an effective way to save, organize, and retrieve information from across the web using AI-powered search and recall.

Why this product is good

  • AI-powered semantic search lets you retrieve saved content by meaning rather than exact keywords
  • Easily capture bookmarks, articles, tweets, notes, and other web content into a unified knowledge hub
  • Acts as a 'second brain' that helps you connect and rediscover previously saved information
  • Offers integrations and a browser extension for frictionless capture of content
  • Useful for chatting with your own saved knowledge base via an AI interface

Recommended for

  • Researchers and students who collect and reference large amounts of information
  • Content creators and writers who need to organize inspiration and source material
  • Knowledge workers wanting a personal 'second brain' for productivity
  • Developers building AI apps that need a memory or knowledge layer
  • Anyone who bookmarks heavily and struggles to find saved content later

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
TweetAPI
S
Supermemory
100% 100%
APIs
0% 0%
0% 0%
AI
100% 100%
100% 100%
Twitter Tools
0% 0%
9% 9%
Developer Tools
91% 91%

Questions & Answers

As answered by people managing TweetAPI and Supermemory.

Which are the primary technologies used for building your product?

TweetAPI's answer

TweetAPI is delivered through a REST/JSON API with API-key authentication, maintained Python and Node.js/TypeScript SDKs, and an OAuth-protected remote HTTP MCP server.

What makes your product unique?

TweetAPI's answer

TweetAPI combines read and write access in one API: 82 documented endpoints for posts, profiles, search, followers, lists, communities, and Spaces, plus posting, engagement, DMs, and encrypted XChat messages. Start free with 100 requests, then pay as you go from $5 with no subscription, or choose a monthly plan from $17. Batch endpoints return up to 50 profiles or 200 posts per request, and you can pay by card or crypto. Maintained Python and Node.js SDKs and a hosted OAuth MCP server are included.

User comments

Share your experience with using TweetAPI and Supermemory. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

TweetAPI no reviews yet
S
Supermemory no reviews yet

We have no reviews of Supermemory yet. Be the first one to post

Social recommendations and mentions

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

TweetAPI 0 mentions
S
Supermemory 4 mentions

Tracking TweetAPI since Aug 2026.

  • AI Agentic Memory for beginners.
    This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0... - Source: dev.to / 4 months ago
  • Building an autonomous Slack agent with OpenCode
    Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good... - Source: dev.to / 5 months ago
  • Build a Real-Time Voice RAG Agent for Your Documentation
    We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come... - Source: dev.to / 6 months ago

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