Overview
Wirable and Context.dev serve different but complementary roles in the AI agent ecosystem. Wirable focuses on testing and improving how well your own product works with AI agents, providing a scored audit and a hosted MCP proxy to fix issues without code changes. Context.dev, on the other hand, is a web context API that gives agents and applications live web dataβscraping, crawling, structured extraction, brand intelligence, and more. Both are developer-friendly and aim to reduce friction in building agent-ready systems.
Feature Comparison
| Feature | Wirable | Context.dev |
|---|---|---|
| Core Purpose | Tests and improves AI agent-readiness of your product via a scored audit and hosted MCP proxy. | Provides a web context API for AI agents to scrape, crawl, extract, and enrich web data. |
| Target Users | Product teams and developers who want to ensure their own product works with AI agents. | Developers and AI product builders who need live web data for their agents or apps. |
| Key Functionality | Agent-readiness audit (score 0-100), hosted MCP proxy, drift monitoring, GitHub fix PRs. | Web scraping to markdown, crawling, structured data extraction, brand intelligence, logo embedding, transaction enrichment. |
| Integration Method | Paste a URL to run an audit; MCP proxy hosted without code changes. | REST API with SDKs; one-line agent setup or dashboard. |
| Scoring/Evaluation | Six dimensions (API surface, auth, MCP, errors, idempotency, docs) with weighted score from 3 agents. | No scoring; focuses on data retrieval and enrichment quality. |
| Data Output | Audit report with score, per-dimension breakdown, and fix recommendations. | Markdown, HTML, structured JSON (via Zod schema), screenshots, brand profiles, logos. |
| Agent Support | Tests agents against your product; provides MCP proxy to fix agent failures. | Provides live web data so agents can reason over current content. |
| Pricing Model | Free tier (3 audits), Pro $29/month for unlimited audits, hosted MCP, drift monitoring. | No card required to start; usage-based pricing (details not fully public). |
Pricing
Wirable:
- Free: $0/month for 3 full agent-readiness audits with 3 agents, live browser, consensus score, and shareable report.
- Pro: $29/month for unlimited audits (fair use), a hosted MCP proxy kept live in front of your product, drift monitoring on every commit, and GitHub fix PRs for llms.txt, AGENTS.md, and MCP manifest.
Context.dev:
- Free to start with no credit card required. Pricing is usage-based for API calls (scraping, extraction, enrichment). Specific tier pricing is not fully public on the website, but the platform is designed for scalable use.
Pros and Cons
Wirable
Pros:
- Provides a clear, actionable score (0-100) for agent-readiness.
- Hosted MCP proxy fixes agent failures without code changes.
- Drift monitoring ensures ongoing compatibility with agents.
- Free audit gives immediate insight into product gaps.
Cons:
- Limited to testing your own product's agent-readiness, not general web data.
- Pro plan required for continuous monitoring and MCP hosting.
- Audit only covers six dimensions; may not capture all agent interaction nuances.
Context.dev
Pros:
- Comprehensive web data API: scrape, crawl, extract, enrich in one platform.
- LLM-ready markdown and structured data extraction with custom schemas.
- Brand intelligence (logos, colors, company data) with a simple API or image tag.
- YC-backed with developer-friendly SDKs and quick integration.
Cons:
- No built-in agent-readiness testing or scoring for your product.
- Pricing can scale with usage; may become costly for high-volume needs.
- Relies on external web data; quality depends on source site structure.
Verdict
Choose Wirable if your goal is to make your own product work seamlessly with AI agentsβit audits, scores, and fixes agent-readiness. Choose Context.dev if you need to give your agents or applications live web data, brand intelligence, or structured extraction. Both are complementary: Wirable optimizes your product for agents, while Context.dev feeds agents the web context they need.

