Context.dev vs SourcePIlot: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Context.dev and SourcePIlot — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Context.dev
Context.dev
A single REST API that turns any URL into LLM-ready markdown, crawls whole sites, and returns brand, logo, and structured company data.
Key features
- Web Scraping API: Converts any URL into markdown, HTML, raw bytes, sitemaps, screenshots, or images, with JS rendering, anti-bot bypass, and premium proxies included at one credit per page.
- Site Crawling: Crawls an entire domain page by page so teams can build knowledge bases or ground RAG pipelines in fresh content instead of a model's training cutoff.
- Schema-Based Extraction: The Extract endpoint crawls a site and returns structured data shaped to a JSON Schema you supply, removing hand-written parsers.
- Answers Endpoint: Takes a research task plus the JSON shape you want back, researches the web, and returns a structured answer in one API call, with a cheaper fast mode.
- Brand Intelligence: Retrieves logos, colors, fonts, styleguides, descriptions, socials, and addresses for a domain, powering programmatic theming and automated brand kits.
- Logo Link CDN: Serves any company's logo through a direct image URL on a separate quota that does not consume API credits.
- Entity Enrichment and Classification: Extracts products, enriches people from an email or profile URL, searches company news, and returns NAICS/SIC codes or transaction identification.
- SDKs, MCP Server, and CLI: Official TypeScript, Python, Ruby, Go, and PHP SDKs plus an MCP server and CLI let agents and applications integrate without custom HTTP plumbing.
Best for
- Grounding AI Agents: Give an LLM agent live web access so answers reflect the current web rather than the model's training cutoff.
- RAG Knowledge Bases: Crawl documentation sites, academic journals, or PDFs at scale to build and refresh a retrieval corpus.
- Support Chatbot Ingestion: Turn a customer's whole website into the knowledge base behind an AI support bot, as SiteGPT does after migrating from a competing scraper.
- Automated Brand Kits and Theming: Pull a company's logo, colors, and fonts from its domain to theme an app or generate on-brand assets programmatically.
- Onboarding Autofill: Enrich a new signup's company profile from their email domain so onboarding forms prefill instead of asking users to type.
- Website Change Monitoring: Run concurrent monitors against competitor or supplier pages and react when content changes.
- Structured Research Pipelines: Use the Answers endpoint to run repeatable web research tasks that return machine-readable JSON for downstream automation.
SourcePIlot
SourcePilot Ltd
On-device AI text editor that analyzes style in real-time and stores your work locally for lifetime ownership.
Key features
- On-device Processing: Runs the AI editor entirely on the user’s device to minimize cloud dependency and keep content and context private.
- Real-time Style Analysis: Continuously analyzes your writing style as you type to provide immediate, context-aware suggestions and improvements.
- Inline Sources and Media: Allows adding and embedding notes, sources, links, and videos directly within documents for richer, reference-backed content.
- Lifetime Ownership Model: Markets the product as something you "own forever," eliminating subscription-based lock-in and enabling one-off ownership (no cloud subscription required).
- Local-first Storage: Keeps documents and metadata locally to ensure user control over data and to support offline editing workflows.
- Downloadable Apps: Provides downloadable applications for desktop (and possibly other platforms) so users can install and run the editor natively on their devices.
- On-device operation with no cloud dependency
- Real-time writing style analysis while typing
- Embed notes, sources, links and videos into documents
- AI-native co-pilot workflows for product engineering
- Assist with defining requirements and functional breakdowns
- Generate parts specifications and suggest component changes
- Suggest design changes to meet product lifetime cost goals
- Downloadable desktop/mobile apps (vendor-provided)
Best for
- Long-form Content Creation: Drafting blog posts, articles, and reports with real-time stylistic guidance and embedded source materials.
- Research-backed Writing: Assembling documents that combine narrative with inline references, links, and videos for academic or product documentation.
- Offline Writing Workflows: Composing and editing confidential or sensitive content in environments without reliable internet while retaining AI assistance.
- Learning and Skill Development: Practicing writing with real-time feedback to improve tone, clarity, and style confidence.
- Note-taking with Context: Capturing meeting notes or product requirements alongside embedded sources and media for richer context and traceability.
- Privacy-sensitive Drafting: Preparing proposals, internal documents, or personal writing where local data control and no cloud storage are required.
- Personal writing assistant for drafting and improving text offline
- Learning to write with confidence via real-time feedback
- Creating documentation enriched with sources, links and media
- Product engineering support: requirements definition and functional decomposition
- Parts specification creation and cost-optimization suggestions
- Working in environments that require no cloud/subscription dependency