
twitterapi.io
SocialData Tools
TweetAPI
Sorsa API
Twexapi
TwitterAPIs
XFlux
GetXAPI is the cheapest Twitter API and X API. $0.001 per call returns ~20 tweets ($0.05 per 1,000). Fetch tweets, profiles, followers. Cheapest Twitter & X API alternative.

Apify
SerpApi
twitterapi.io
TWINT
Bright Data
Page2Api
Portia
Public-data APIs and free SEO/social research tools for agents, marketers, and researchers.
Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | getxapi.com | unifapi.com |
| Pricing | ||
| Company | Startup from the United Arab Emirates · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


GetXAPI is the cheapest Twitter API (X API) for developers and AI agents: pay-per-call data with no subscription and no X developer account. Most endpoints are $0.001 per call (about $0.05 per 1,000 tweets); DMs are $0.002. New accounts get $0.10 in free credits, no card. Read: search, profiles,...
Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw & Hermes. One plugin: SEO audits, GEO / AI-visibility, local SEO, KOL pricing, social listening & competitive intelligence from read-only public data over MCP.
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GetXAPI and UnifAPI.
GetXAPI's answer
Developers and AI-agent builders who need affordable, reliable Twitter/X data without the cost or setup of the official API. Typical users are indie developers and founders, automation builders (n8n, MCP, Cursor), growth and social-monitoring teams, and researchers collecting tweet datasets.
UnifAPI's answer:
UnifAPI's primary audience is marketing and growth teams that work through AI assistants, plus the developers and agent builders who support them. That includes SEO and GEO (AI visibility) specialists tracking live organic and AI SERPs, influencer and social marketers pricing creators and building shortlists from public profiles, competitive-intelligence and social-listening analysts monitoring public chatter, and content strategists mining real audience demand. On the technical side, it serves developers and AI engineers who build agents in Claude, ChatGPT, Codex, Cursor, and other MCP clients and want live public data without operating scrapers, proxies, or extra LLM keys. In short, anyone who wants their AI agent to return sourced, citable public-data marketing briefs is a good fit.
GetXAPI's answer
GetXAPI is the cheapest way to read and write Twitter/X data programmatically. Most endpoints cost $0.001 per call (about $0.05 per 1,000 tweets) on a pure pay-per-call model, with no subscription, no developer-account approval, and no platform-level rate limits. You sign up with email, copy a Bearer token, and start calling 50+ endpoints right away.
UnifAPI's answer:
UnifAPI is an agent-native public-data layer, not another dashboard or API marketplace. It gives AI assistants like Claude, ChatGPT, and Codex prebuilt marketing research agents that pull live public data and return normalized, platform-native records — posts, profiles, videos, comments, rankings, and citations — each with source IDs and timestamps an agent can cite, rank, and compare in one brief. You connect a single MCP server (works across 27+ assistants and agents) or call direct HTTP, with no separate LLM key required and pay-per-record pricing at roughly $0.001 per operation. That combination of ready-to-run marketing agents (SEO/SERP, AI visibility/GEO, influencer and KOL pricing, social listening, competitive intelligence, content strategy) plus clean, citable public data is what makes UnifAPI unique.
GetXAPI's answer
It is roughly 3x cheaper than twitterapi.io and far cheaper than the official X API for reads, with no monthly minimum, so you only pay for what you use. Unlike the official API there is no developer-account approval and no 15-minute rate-limit windows to engineer around. It also ships ready-made integrations: a public OpenAPI 3.1 spec, an MCP server for Claude and Cursor, and Apify actors.
UnifAPI's answer:
Choose UnifAPI when you want AI agents — not a human clicking through a UI — to do public-data marketing research. Compared with SEO suites like Ahrefs, Semrush, or Similarweb, UnifAPI is the agent-native alternative: instead of dashboards and seats, it returns citable, normalized records straight into Claude, ChatGPT, or Codex. Compared with generic API marketplaces, it delivers platform-native records (posts, profiles, videos, comments, rankings) with source IDs and timestamps, so an agent can cite, rank, and compare across sources in a single brief. Compared with scraping infrastructure, there are no collectors, proxies, or browser actors to operate — you get a supported public-data catalog behind one MCP server. And unlike private-SaaS connectors, UnifAPI is read-only public-data research (eyes, not hands). You also skip extra LLM keys and surprise caps, using your existing agent plan with simple pay-per-record pricing at about $0.001 per operation.
GetXAPI's answer
GetXAPI started after its founder kept overpaying for Twitter/X data through the official API, Apify, and RapidAPI. After spending weeks understanding how those tools work, he built a leaner pay-per-call API that delivers the same reads and writes at a fraction of the cost, with no subscription or developer account. It launched publicly in early 2026 and grew through the developer community.
UnifAPI's answer:
UnifAPI grew out of a simple observation: AI assistants like Claude, ChatGPT, and Codex are great at reasoning but blind to live public data, and the tools meant to fill that gap were built for humans staring at dashboards, not for agents. Marketers wanting SEO rankings, AI-visibility citations, creator pricing, or competitor signals had to stitch together SEO suites, scraping infrastructure, proxies, and separate LLM keys — none of which return clean records an agent can actually cite. So UnifAPI was built as the public-data layer for agents: one MCP server (and direct HTTP when needed) that delivers normalized, platform-native records with source IDs and timestamps, wrapped in ready-to-run marketing agents. The first release focuses on marketing, creator research, and competitive intelligence, with pay-per-record pricing so teams can start from the assistant they already use.
GetXAPI's answer
GetXAPI is a REST API built on Node.js and TypeScript, returning JSON with Bearer-token authentication and a public OpenAPI 3.1 specification. For integration it provides an MCP server (Claude, Cursor, Continue), Apify actors, a Postman collection, and interactive Fern docs.
UnifAPI's answer:
UnifAPI is built around the Model Context Protocol (MCP): a single MCP server exposes its public-data agents to 27+ compatible assistants and clients, including Claude, ChatGPT, Codex, Claude Code, Cursor, VS Code, Windsurf, Zed, Cline, Continue, Perplexity, Grok, Gemini CLI, and more. Alongside MCP, it offers direct HTTP APIs for developers who prefer to call endpoints themselves, with OAuth handling authentication during the tool-call flow when live data is needed. The platform normalizes public records from many sources — TikTok, LinkedIn, Instagram, YouTube, Twitter/X, Threads, Reddit, Hacker News, News, plus SEO/GEO SERPs, Maps, Local Finder, Hotels, and Events — into consistent, citable records with source IDs and timestamps. Metering is usage-based at roughly $0.001 per record/operation, so no separate LLM key or subscription is required. Developer docs are available at docs.unifapi.com.
GetXAPI's answer
UnifAPI's answer:
UnifAPI is currently in design-partner mode, working with a small first cohort rather than publishing named logos, so we don't list specific customer names yet (case studies will be co-authored later — public, anonymous, or never, at the partner's choice). The teams we work with today typically include: - Marketing and growth teams running SEO, AI-visibility (GEO), and competitor research through Claude, ChatGPT, or Codex - Influencer and social marketers pricing creators and building shortlists from public profile data - Startups and agencies building AI agents and internal automations that need public social and web evidence - Developers and AI engineers shipping MCP-based agents who want live public data without operating scrapers or extra LLM keys
Share your experience with using GetXAPI and UnifAPI. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


There is no single threshold across all packages. TweetAPI PAYG costs $0.50 per 1,000 normal units; GetXAPI's undiscounted standard calls cost $1 per 1,000. But GetXAPI Pro includes 30,000 base standard calls for $15,...
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