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polymer-pay-olostep

Automates web search, extraction, and scalable crawling via Polymer Pay API v1 endpoints.

1|2|Updated Mar 2, 2026
Search Tags:#data-extraction#web-scraping#ai-research#web-crawling#research-workflows#polymer-pay
One-click install
npx skills add https://github.com/polymerdao/pay-apis --skill polymer-pay-olostep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: polymer-pay-olostep
Source: https://github.com/polymerdao/pay-apis/tree/main/skills/polymer-pay-olostep
Command: npx skills add https://github.com/polymerdao/pay-apis --skill polymer-pay-olostep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-powered web search, extraction, and custom research workflows enable automated gathering, structuring, and analysis of web data at scale, reducing manual research effort.

Core Features & Use Cases

  • AI-driven web search and structured data extraction from websites
  • Large-scale crawling and data collection with customizable workflows
  • Build and automate specialized research agents for summaries, briefs, and datasets
  • Use Case: market researchers collect competitor data, summarize findings, and assemble datasets for dashboards

Quick Start

Configure your Polymer Pay API key and initiate a sample crawl to start collecting data.

Frequently Asked Questions about polymer-pay-olostep

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

FAQPage Schema
How do I automate web scraping and data extraction for market research?▼

Yes, large-scale site-wide crawling is supported alongside single-page scrapes and batch processing. You can build custom research workflows to collect competitor data, summarize findings, and assemble datasets for dashboards.

Do I need an API key to perform AI web research and structured data extraction?▼

Yes, you need a POLYMER_PAY_API_KEY to perform AI web research and structured data extraction. The API key routes requests through the Polymer Pay proxy to v1 endpoints for scrapes, answers, maps, crawls, batches, and retrieve operations.

What is the best way to build structured research datasets from web crawling?▼

The best way to build structured research datasets from web crawling is using AI-driven extraction and customizable workflows. This approach automates gathering, structuring, and analyzing web data at scale, enabling automated assembly of summaries, briefs, and datasets.

Can I use batch processing for competitive intelligence and content discovery?▼

Yes, batch processing is supported for competitive intelligence and content discovery tasks. The Skill applies scalable crawling and AI-powered extraction to handle tasks ranging from single-page scrapes to site-wide batch data collection.

Does web data extraction work with custom research workflows and automated agents?▼

Web data extraction works seamlessly with custom research workflows and automated agents. You can build and automate specialized research agents to generate summaries, briefs, and structured datasets from the extracted web data.

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