NewSchemaFlow Monitors — Real-time web diffing, DOM alerts & webhook pipelines
The Next-Gen Web Context Platform|v2.4 Live

One unified API. Every piece of web context your AI agents need.

Scrape any dynamic URL to clean Markdown, crawl entire domains, extract structured schemas with AI, and hydrate typed brand intelligence in a single HTTP request.

Agent Auth:schemaflow.tech/auth.md

Paste directly into Cursor, Windsurf, or LangChain to auto-provision your credentials.

GET/v1/
Status: 200 OKLatency: 284msProxies: Residential Stealth
Token Reduction: 82.4% (84K → 14K tokens)
# Linear — Purpose-Built Product Development

Linear helps teams build, plan, and ship modern software with exceptional velocity and precision.

## Key Capabilities

- **Cycles & Sprints**: Automatic tracking of project cadence with zero friction.
- **Project Roadmaps**: Connect day-to-day issue tickets to high-level strategic company objectives.
- **Triage & Customer Support**: Ingest customer feedback directly from Slack, Zendesk, and Intercom.
- **Git Sync**: Bi-directional integration with GitHub, GitLab, and branch automation.

### Performance Benchmarks
- Offline-first architecture with <50ms sync latency.
- Global keyboard command menu (⌘K).
Zero selectors to maintain • JS rendered server-sideOpen full console

Powering production AI pipelines & agents at leading teams

M
MintlifyDeveloper Docs
S
SiteGPTSupport Chatbots
D
Daily.devDev Network
S
SourcelyAcademic LLM
P
Propane AIUser Interviews
A
ArchitectSales GTM
O
OpenTagCRM Coworkers
Architectural Evolution

Stop babysitting scrapers. Start shipping intelligence.

Why leading AI engineering teams migrate away from self-hosted headless scrapers to SchemaFlow.

In-House Scraping

High Maintenance & Fragile

Feeding agents knowledge frozen at the LLM training cutoff

Building internal headless Puppeteer/Playwright scraper clusters

Wasting 80% of model context windows on messy HTML tags and tracking scripts

Gluing together 4 different vendors for scrapers, logos, and firmographics

Writing fragile regex and CSS selectors that break when sites update

Production Standard

The SchemaFlow Layer

Autonomous & Managed

Pull live web content and real-time DOM changes the instant an agent reasons

Call a single REST API that auto-escalates proxies and handles JS rendering

Receive clean, token-efficient GitHub Flavored Markdown by default

Unified API key covers scraping, full crawls, brand profiles, and logo CDNs

Pass a Zod or JSON Schema and let multimodal AI extract typed data reliably

Frictionless Integration

Do it yourself in the console, or let your AI agent do the whole thing.

Engineered for developers who like dashboards, and coding agents that do the work for you.

Do it yourself

Standard developer self-serve onboarding. Start testing in 2 minutes without speaking to sales.

  1. 1Sign up and get 500 test credits instantly.
  2. 2Copy your private key from the API keys manager.
  3. 3Run npm i @schemaflow/sdk and ship.
Get API Key Manually

Let your AI agent do it

Autonomous Spec

Paste one line into Cursor, Copilot Workspace, or Cline. Your agent provisions your account and writes the client integration.

Agent Prompt (RFC auth.md)

Signup for an account & get API key with schemaflow.tech/auth.md, then follow docs.schemaflow.tech/agent-quickstart to integrate into the codebase

Complies with Agent Auth Protocol spec & MCP Server
Unified Capability Matrix

The APIs powering your next AI breakthrough

From web scraping to deep brand intelligence under one production key.

Clean LLM Markdown Endpoint

Strip noise, ads, and markup. Keep 100% of the reasoning content.

Converts client-side React/Vue SPAs and complex documentation into structured GitHub Flavored Markdown. PDFs, DOCX, and tables are parsed automatically into clean text.

SDK Usage
// Single GET request returns LLM-ready markdown
const { markdown, tokenCount } = await schemaflow.web.scrape({
  url: "https://stripe.com/pricing",
  format: "markdown"
});
API Response PayloadHTTP 200 OK
# Stripe Pricing Architecture

Integrated suite of payments products. Simple, predictable pricing.

## Card Processing
- 2.9% + 30¢ per successful card charge
- International cards: +1.5%
- Currency conversion: +1%

## Billing & Subscriptions
- 0.7% on recurring billing volume
LLM Token & Cost Benchmark

Calculate how many LLM tokens you save by ditching raw HTML.

Raw HTML wastes your model’s context window on cookie notices, CSS classes, SVG paths, and tracking scripts. SchemaFlow’s Markdown reduces token load by ~83% while preserving 100% of the reasoning content.

Monthly Scrapes50,000 pages
5K pages100K pages500K pages
Raw HTML Ingestion

4.00B tokens

~80,000 tokens/page

SchemaFlow Markdown

0.70B tokens

~14,000 tokens/page

Net Tokens Saved

3300.0M Tokens (83%)

Est. Model API Savings

~$9,900 /mo

*Based on average frontier LLM input pricing ($3/1M tokens) comparing raw HTML DOM to structured GitHub Markdown.

Developer Ergonomics

Start scraping in three lines of code.

Official, type-safe SDKs for modern runtimes with full TypeScript intellisense, retries, and async streaming.

import { SchemaFlow } from '@schemaflow/sdk';

const client = new SchemaFlow({
  apiKey: process.env.SCHEMAFLOW_API_KEY
});

// Convert any dynamic, JS-rendered URL into LLM-optimized Markdown
const { markdown, metadata } = await client.web.scrapeMarkdown({
  url: 'https://linear.app/features',
  waitForSelector: '[data-content]',
  includeImages: true,
  bypassAntiBot: true // Automated stealth residential escalation
});

console.log('Token count:', metadata.tokenCount);
console.log(markdown);
$npm install @schemaflow/sdk
View full SDK documentation
Production Validated

Teams ship brand-powered features in days instead of quarters.

See how developers rely on SchemaFlow to automate scraping pipelines and enrich their applications.

View All Stories
🌿Mintlify
< 10 minIntegration time into production

SchemaFlow allowed us to power our automated repo-to-docs generation pipeline with zero scraper babysitting. It just works.

Nick Khami

Engineering Manager, Mintlify

Read case study
🤖SiteGPT
1 DayMigration from Firecrawl

We switched from Firecrawl to SchemaFlow and immediately saw our crawl success rate jump to 99.8%. The migration took less than an afternoon.

Bhanu Teja

Founder, SiteGPT

Read case study
📚Sourcely
4.8xFaster PDF & journal ingestion

Parsing complex research papers and tables used to break our scrapers weekly. SchemaFlow's document ingestion turned it into a single clean REST call.

Alex Morgan

Head of AI Infrastructure, Sourcely

Read case study
500 Free Credits • Instant Activation

Ready to give your AI agents live web context?

Integrate in 10 minutes. The same API powering agents at Mintlify, daily.dev, and Propane AI. No credit card required.

SOC 2 Type II Certified99.99% Uptime GuaranteeZero Credit Multipliers