{"ok":true,"host":"stableenrich.dev","status":"failed","manifest":{"positioning":"stableenrich.dev aggregates several third-party search and enrichment APIs into a single host, serving agents that need to discover web content, retrieve news articles, find images of people, or extract and summarize content from known URLs. It covers the full discovery-to-enrichment pipeline: query a search engine, get ranked results, then fetch and enrich the content of specific URLs. It is backend-agnostic in that it exposes both Serper-based (Google-index) and Exa-based (neural-index) search, letting agents choose the retrieval style that fits their task.","host_overview":"stableenrich.dev provides web search and content enrichment capabilities across multiple backends: Serper (Google News and Images), Firecrawl, and Exa (neural search, URL content extraction, and AI-generated answers). It returns structured metadata including titles, URLs, snippets, publication dates, and image dimensions. It does not offer financial data, real-time streaming feeds, or authenticated-URL scraping.","routing_guidance":"Use stableenrich.dev when an agent needs to search the web (general or news), retrieve structured image results, or extract and summarize content from known URLs. Prefer search-exa-web for semantic or concept-driven queries; prefer search-web-firecrawl or fetch-google-news-serper when Google-index recency and news-specific metadata matter. Use fetch-exa-answer when the goal is a direct cited answer rather than a list of results. Do not use this host for real-time financial or market data — use a dedicated financial data API instead. Do not use it for reverse image search, image analysis, or authenticated-URL scraping. It is not a streaming data source. If the agent already knows the target URL and only needs content, go directly to fetch-exa-url-contents rather than running a search first.","capability_clusters":[{"skill_names":["search-web-firecrawl","search-exa-web"],"cluster_name":"Web Search and Discovery","cluster_summary":"Finds relevant web pages and articles by keyword or semantic query, returning ranked results with titles, URLs, descriptions, and content snippets. Covers both traditional Google-index search via Firecrawl and neural semantic search via Exa."},{"skill_names":["fetch-google-news-serper"],"cluster_name":"News Search","cluster_summary":"Retrieves ranked Google News articles for a topic or keyword, with structured metadata including headline, source, publication date, and image URL, with optional country and language filtering."},{"skill_names":["fetch-exa-answer"],"cluster_name":"AI-Answered Factual Lookup","cluster_summary":"Submits a natural-language question to Exa and returns a synthesized answer string with cited web sources, suitable for direct factual resolution without manual result parsing."},{"skill_names":["fetch-exa-url-contents"],"cluster_name":"URL Content Enrichment","cluster_summary":"Crawls one or more known URLs via Exa and returns extracted text, summaries, highlights, and subpage links, enabling deep content extraction after URLs have been discovered."},{"skill_names":["search-google-images","search-people-images"],"cluster_name":"Image Search","cluster_summary":"Queries Google Images via Serper for general images or person-specific headshots, returning direct image URLs, dimensions, thumbnails, and source page attribution."}],"cross_skill_workflows":[{"steps":[{"skill_name":"search-exa-web","description":"Perform a semantic search to discover ranked URLs relevant to the query, with optional domain and date filters."},{"skill_name":"fetch-exa-url-contents","description":"Pass the discovered URLs to extract full text, highlights, and summaries from each page for downstream processing."}],"when_to_use":"Use when an agent needs to find relevant web pages on a topic and then extract full content or summaries from the top results.","workflow_name":"Discover and Enrich Web Content"},{"steps":[{"skill_name":"fetch-google-news-serper","description":"Search Google News for the topic to get ranked article headlines, sources, dates, and links."},{"skill_name":"fetch-exa-url-contents","description":"Fetch and extract full text and summaries from the article URLs returned by the news search."}],"when_to_use":"Use when an agent needs to surface recent news articles on a topic and then read the full content of the most relevant ones.","workflow_name":"News Research with Source Enrichment"},{"steps":[{"skill_name":"fetch-exa-answer","description":"Submit a natural-language query about the person to get a cited factual summary covering role, background, and recent activity."},{"skill_name":"search-people-images","description":"Search for a headshot or photo of the person, scoped by name and optionally company or title, to retrieve a direct image URL."}],"when_to_use":"Use when an agent needs to compile a profile of a named individual, including factual background and a headshot image.","workflow_name":"Person Research with Photo"}]},"model":"claude-sonnet-4-6","version_no":5,"generated_at":"2026-05-28T14:27:44.842Z","provenance":"ai_authored_unreviewed","ai_authored":true,"merchant_reviewed":false,"merchant_edited":false,"merchant_reviewed_at":null,"merchant_edited_at":null,"skill_md_url":"https://x402gle.com/servers/stableenrich.dev/SKILL.md","skills_url":"https://x402gle.com/servers/stableenrich.dev/skills.json"}