The social media data API built for AI agents
One unified schema across 68+ platforms, agent-readable resources, and computed fields out of the box. Your agent asks for social data; SocialQuery handles the platform work.
Searching 68+ platforms in parallel
Agent Ready
How do AI agents query social media data?
Agents query social data through one API key, without per-platform auth, response normalization, or rate-limit handling in the prompt loop.
646+ endpoints. 68+ platforms. One API key.
Agent Onboarding
Fetch the onboarding skill, create a server-side key, and start pulling agent-ready social data immediately.
Built for Agents
What can you build with a social media API for AI agents?
From trend-spotting agents to brand monitoring pipelines, one API key replaces dozens of scraper tools and source-specific parsers.
Social Monitoring Agents
Watch social sources at the same time, catch sentiment changes, and send the useful signals into your agent workflow.
Daily Social Briefings
Generate morning briefs from fresh posts, comments, videos, reviews, and discussion threads.
Brand Intelligence Agents
Compare your brand with competitors across public social surfaces and answer engines.
Sentiment Breakdown
How It Works
Why do LLMs need a unified social media schema?
Every platform returns a different JSON shape. SocialQuery solves that before the data leaves the server, so the agent can spend tokens reasoning instead of cleaning payloads.
1. API key or OpenAPI reference.
Connect through HTTP, OpenAPI, llms files, or the agent-readable agent setup.
2. One consistent request shape.
Your agent validates parameters once instead of learning every platform separately.
3. Unified, AI-ready JSON.
Responses arrive normalized with request metadata, credits, cache state, and source details.
Live data, not cached pages.
Endpoint cache windows are explicit, so agents know when data was resolved.
Platform changes handled.
Provider-specific changes are absorbed before they reach the agent contract.
Why SocialQuery
How does SocialQuery compare to raw scraping APIs?
| Feature | SocialQuery | Raw scraping APIs | Manual DIY |
|---|---|---|---|
| Unified schema | One JSON shape for all platforms | Raw payloads or page HTML | Different parser per platform |
| Agent integration | Agent onboarding resources | Usually none | Build and maintain it yourself |
| Credit metadata | Visible before and after calls | Provider-specific | Not standardized |
| Platform changes | Handled behind the API contract | Your app sees the break | Your team fixes every source |
Get started
See your data before writing a single line.
100 free credits. No credit card. Query the API and see exactly what your agent will receive.
Already an AI agent? Fetch the onboarding skillDevelopers love it
Which platforms can AI agents access through SocialQuery?
TikTok, Instagram, YouTube, X/Twitter, Reddit, LinkedIn, Threads, Facebook, Pinterest, Snapchat, Twitch, Bluesky, and more.
Testimonials
Loved by people who move fast.
The unified schema saved weeks of integration work. One parser handles every platform.
Alex Chen
Our agents process social data without platform-specific logic.
Sarah Kim
We moved brand intelligence into our own workflow instead of another dashboard.
James Rivera
FAQ
Common questions
Can coding agents use SocialQuery?
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Yes. SocialQuery provides a REST API, OpenAPI specification, and integration guides for coding agents.
Is there a social media API built for LLM agents?
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Yes. The API is designed around predictable tool calls, stable parameters, normalized responses, and credit metadata an agent can inspect.
Which platforms can AI agents access through SocialQuery?
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Agents can use the same 68+ platform catalog shown across the docs and endpoint pages.
How much does it cost for an AI agent to query social data?
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Endpoint pages show credit cost before a request runs, and responses include usage metadata for auditability.
What is the difference between SocialQuery and a raw scraping API?
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Raw scraping APIs return source-specific payloads. SocialQuery returns a documented API contract with unified objects and agent-ready metadata.
Does SocialQuery work with LangChain, LlamaIndex, and Claude Code?
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Yes. Use the HTTP API directly or point compatible tools at the same docs, OpenAPI, llms files, and integration guides.
Are the fields AI-ready or do I need to enrich them myself?
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The response is already normalized and includes computed and source metadata, while still leaving room for your own downstream enrichment.
Next step
Ready to give your AI agent social media data?
Get your API key and start querying 646+ social media endpoints in under 60 seconds.