Wirable vs Context.dev: Detailed Comparison

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 dataβ€”scraping, crawling, structured extraction, brand intelligence, and more. Both are developer-friendly and aim to reduce friction in building agent-ready systems.

Feature Comparison

FeatureWirableContext.dev
Core PurposeTests 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 UsersProduct 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 FunctionalityAgent-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 MethodPaste a URL to run an audit; MCP proxy hosted without code changes.REST API with SDKs; one-line agent setup or dashboard.
Scoring/EvaluationSix dimensions (API surface, auth, MCP, errors, idempotency, docs) with weighted score from 3 agents.No scoring; focuses on data retrieval and enrichment quality.
Data OutputAudit report with score, per-dimension breakdown, and fix recommendations.Markdown, HTML, structured JSON (via Zod schema), screenshots, brand profiles, logos.
Agent SupportTests agents against your product; provides MCP proxy to fix agent failures.Provides live web data so agents can reason over current content.
Pricing ModelFree 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 agentsβ€”it 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.