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USE CASE / FOR AI BUILDERS

Give AI models
real-time web access.

Ground answers in what sites actually say right now. Pipe structured page data into RAG, tool calls, or agent memory with one API surface.

Build this workflowRead the docs

Workflow map

Input01

Customer domain or URL

Teams wire up headless browsers, then proxies, then parsers — and still get brittle context windows. The maintenance tax shows up right when a model demo turns into production traffic.

Orsa02

Context API

Orsa returns clean Markdown, HTML, and brand metadata with retries and escalation handled for you. Point agents at URLs the same way they call any other tool.

Output03

real-time web access

Ground answers in what sites actually say right now. Pipe structured page data into RAG, tool calls, or agent memory with one API surface.

Start free, no card required, most teams ship a first integration in under ten minutes.

Business case

The numbers your ICP
is looking for

Use-case pages should answer the operational question first: what gets faster, easier, or more reliable when Orsa is in the stack?

Scraper tickets closed−70%−70% (typical platform team)
Time to first agent tool< 1 day< 1 day
Context freshnessTTL + on-demand refreshTTL + on-demand refresh
Workflow architecture

Show the system,
not just the promise

Each vertical page now teaches how the workflow is assembled: the customer input, the Orsa context layer, and the product behavior it unlocks.

Trigger01

User or domain event

Teams wire up headless browsers, then proxies, then parsers — and still get brittle context windows. The maintenance tax shows up right when a model demo turns into production traffic.

Orsa context02

Extract the facts

Orsa returns clean Markdown, HTML, and brand metadata with retries and escalation handled for you. Point agents at URLs the same way they call any other tool.

Product action03

real-time web access

Ground answers in what sites actually say right now. Pipe structured page data into RAG, tool calls, or agent memory with one API surface.

Primary endpoints
3 API callsScrape Markdown, Scrape HTML, Company Logos
Implementation
Code sample includedThe page includes a copy-ready TypeScript path.
Buyer outcome
−70% (typical platform team)Scraper tickets closed
Best fit
USE CASE / FOR AI BUILDERSGive models Markdown, screenshots, and brand metadata from any URL — without maintaining scrapers.
Problem to product

This is the page
your buyer expected to find

A real landing page has an argument: the painful state, the better workflow, and the concrete integration that gets them there.

Without Orsa

Without Orsa

  • Teams wire up headless browsers, then proxies, then parsers — and still get brittle context windows. The maintenance tax shows up right when a model demo turns into production traffic.
  • Teams stitch together scrapers, enrichment APIs, and manual cleanup before the product experience can ship.
  • The workflow looks simple in the roadmap and turns into infrastructure work in the sprint.
With Orsa

With Orsa

  • Orsa returns clean Markdown, HTML, and brand metadata with retries and escalation handled for you. Point agents at URLs the same way they call any other tool.
  • One API key covers the extraction, brand, profile, and classification data behind the workflow.
  • The landing page can speak to the ICP because the product path is concrete, not a generic feature matrix.
Product pattern

From context API
to product behavior

The strongest landing pages help teams imagine the exact product moment. Orsa becomes the context layer between an event and the customer-facing experience.

  • Capture a domain, URL, descriptor, or website event from the product.
  • Call the relevant Orsa endpoints once, cache the result, and pass typed data into the workflow.
  • Use brand, web, classification, or merchant context to remove manual fields and guesswork.

Endpoint 01

Scrape Markdown

Endpoint 02

Scrape HTML

Endpoint 03

Company Logos

The old way

The simple idea that becomes a platform project.

Teams wire up headless browsers, then proxies, then parsers — and still get brittle context windows. The maintenance tax shows up right when a model demo turns into production traffic.

The Orsa layer

The same workflow, minus the extraction stack.

Orsa returns clean Markdown, HTML, and brand metadata with retries and escalation handled for you. Point agents at URLs the same way they call any other tool.

Implementation

A workflow your team
can ship this week

The landing page promise needs to survive contact with the codebase. This is the path from idea to integration.

Create an API keyAPI reference
workflow.ts
import Orsa from 'orsa';

const client = new Orsa({ apiKey: process.env.ORSA_API_KEY! });
const page = await client.web.scrapeMarkdown({
  url: 'https://stripe.com/docs',
});
Where it shows up

Built for teams who
already feel this pain

These pages now read like ICP pages: concrete workflows, objections, and proof points that match the buyer's job.

The Context Company01

The Context Company

“Cut agent hallucinations on company facts after adding Orsa as the ground-truth layer.”

Mintlify02

Mintlify

“Docs search stays fresh by reusing the same Markdown Orsa emits for marketing captures.”

Paragon Group03

Paragon Group

“Internal agents chart customer sites before onboarding calls — no bespoke scrapers.”

Endpoints

The API calls behind
this use case

Each link is a narrower product page with the details a developer needs after the buyer understands the workflow.

EndpointScrape MarkdownEndpointScrape HTMLEndpointCompany Logos
Get started

Turn this use case
into product behavior

Start with one endpoint, then expand into the full context layer as the workflow grows.

Build this workflow

One API key for every Orsa endpoint · No card required to start.

Orsa

Turn any URL into structured data. Instantly, with a single API.

Engineering essays, API updates, and customer stories. Weekly, no spam.

Products

  • Scrape HTML
  • Scrape Markdown
  • Scrape Images
  • Scrape Sitemap
  • Company Logos
  • Company Colors
  • Company Styleguide
  • Transaction Identification
  • Website Screenshot
  • View all 15 →

Use cases

  • Power LLMs with Web Context
  • Logo Link
  • Reduce Onboarding Friction
  • Automated Brand Kits
  • Programmatic Theming
  • Enrich Company Profiles
  • Transaction & Billing Data
  • Stock Ticker Enrichment
  • Zapier Automations

Compare

  • vs Brandfetch
  • vs Clearbit
  • vs Logo.dev
  • vs Klazify
  • vs RiteKit
  • vs Parget
  • All comparisons →

Developers

  • Documentation
  • Changelog
  • TypeScript SDK
  • Python SDK
  • Ruby SDK
  • MCP
  • Status
  • API reference
  • Playground

Free tools

  • AI-SEO / GEO Checker
  • Design Extractor for LLMs
  • Sitemap Generator
  • URL to Markdown
  • Open Graph Checker
  • Email Signature Generator
  • DNS Lookup
  • Twitter Card Validator
  • Brand Font Finder

Company

  • Blog
  • Customers
  • Pricing
  • FAQ
  • Contact
  • Security
  • Acceptable Use
  • Request Brand Update
  • Careers

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