Gaffa is a web scraping and browser automation API that gives developers full, real-browser control with a single API call no headless browsers, proxies, CAPTCHA handling, or scaling infrastructure to manage. JavaScript rendering is handled by default, so pages load exactly as they would for a real visitor.
Gaffa supports web scraping, AI-powered structured data extraction, screenshot capture, PDF export, infinite-scroll handling, form filling, and converting any webpage into clean, LLM-ready Markdown for AI and RAG pipelines. A rotating residential proxy network ensures reliable access across geographies with automatic anti-bot bypass.
Credits are charged only for actual browser execution time and bandwidth used, with no fixed infrastructure costs.
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Process Street is an AI-powered compliance operations platform that automates complex workflows, enforces standards, and tracks audit data in real time. Teams use it to create structured SOPs, assign tasks, collect data, and monitor execution with intelligent oversight.
From onboarding and audits to vendor management and document control, Process Street ensures every step is followed and every action is logged. Built for regulated industries like financial services, healthcare, and manufacturing, it supports frameworks such as ISO, SOC 2, SOX, and HIPAA.
With role-based permissions, audit logs, and powerful integrations, Process Street replaces static documents, spreadsheets, and manual processes with a single automated system of record. Use AI to streamline approvals, catch risks early, and generate audit-ready evidence.
Trusted by teams at Cargill, DoorDash, Farmers Insurance, and Hartford Healthcare.
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DocsAlot
DocsAlot is an agent-readable documentation platform for developers and AI agents, built for SaaS teams fixing AI onboarding. It turns scattered help-center pages, API docs, READMEs, changelogs, product notes, and internal product knowledge into one polished source of truth that humans and AI can onboard from. DocsAlot connects product knowledge, documentation sources, and AI-facing outputs so every onboarding answer points back to the same current docs. Teams can bring in GitHub docs, help-center articles, API references, READMEs, changelogs, product notes, Notion context, support articles, internal notes, Confluence spaces, and Google Docs, then normalize messy content into a navigable docs structure. It packages documentation for agents by creating stable anchors, clean markdown, llms.txt, skill.md, and MCP-ready chunks from the same source, while still publishing hosted docs with clean navigation, quickstarts, guides, API references, support flows, runnable examples, etc.
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