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polymer-pay-ortho-exa

Rank web content with neural embeddings and return cited results.

1|2|Updated Mar 2, 2026
Search Tags:#research#search#citations#semantic#content-extraction#api-proxy#neural-embeddings
One-click install
npx skills add https://github.com/polymerdao/pay-apis --skill polymer-pay-ortho-exa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: polymer-pay-ortho-exa
Source: https://github.com/polymerdao/pay-apis/tree/main/skills/polymer-pay-ortho-exa
Command: npx skills add https://github.com/polymerdao/pay-apis --skill polymer-pay-ortho-exa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Exa provides AI-powered semantic web search, neural embeddings-based discovery, and content extraction with citations, enabling fast, accurate research and answer generation through the Polymer Pay proxy.

Core Features & Use Cases

  • Semantic web search with neural embeddings for concept-based results.
  • AI-assisted content extraction with citations and summaries.
  • Async research tasks and results retrieval via the /research/v1 endpoints.

Quick Start

Search for "AI policy in the EU" and return results with citations.

Frequently Asked Questions about polymer-pay-ortho-exa

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform semantic web search with neural embeddings for research?▼

Semantic web search uses neural embeddings to find and rank web content based on conceptual understanding rather than exact keywords. This approach delivers AI-ready results with content extraction and citations, routed securely through a pay-per-use proxy.

How does Q&A with citations work for AI-assisted research tasks?▼

Q&A with citations works by combining semantic search and content extraction to retrieve relevant web pages and generate answers. It exposes endpoints for neural search and similarity matching, providing cited summaries for accurate research retrieval.

What's the best way to automate async research and retrieve web content results?▼

Automating async research involves submitting queries through dedicated endpoints to initiate background processing. You retrieve ranked web content and extraction results once the asynchronous research workflow completes, enabling fast and scalable data gathering.

Can I use semantic search for content extraction without managing API keys directly?▼

Yes, you can perform semantic search and content extraction without managing API keys directly. Requests are routed through a secure proxy, handling pay-per-use access and authentication internally to deliver AI-ready search results.

Does semantic similarity matching work for finding conceptually related web pages?▼

Semantic similarity matching works by comparing neural embeddings to find conceptually related web pages. It ranks content based on semantic understanding, ensuring the results match the underlying meaning of your search intent rather than just keyword overlap.

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