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Authoritative encyclopedia articles via the Wikipedia Action API (English edition).
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Based on SOC occupation classification
LinkedIn public pages — company profiles, job posts, professional articles via Jina Reader (no auth needed for public content).
Chinese stock market platform — stock search, trending posts, hot stock rankings. Use for financial/investment queries in Chinese.
Programming Q&A with community-voted answers across 200+ technical tags via api.stackexchange.com.
Transcribe video/audio URL to text + word-level timestamps using Bilibili Bcut ASR API (free, no API key). Preferred for Chinese content — Bcut gives character-level timestamps vs Whisper word-level. Returns text + segments [{start, end, text}]. Requires yt-dlp + ffmpeg.
Instagram public posts and reels search via TikHub. Best for product demos, tutorials, and visual content. English-first but works with any language keyword.
WeChat Channels (视频号) short video search via TikHub. Returns videos matching a keyword — creator name, title, duration, CDN video URL. Best for Chinese-language video content on WeChat ecosystem. Requires TIKHUB_API_KEY.
| name | wikipedia |
| description | Authoritative encyclopedia articles via the Wikipedia Action API (English edition). |
| version | 1 |
| languages | ["en","mixed"] |
| methods | [{"id":"api_search","impl":"methods/api_search.py","requires":[],"rate_limit":{"per_min":60,"per_hour":2000}}] |
| fallback_chain | ["api_search"] |
| when_to_use | {"query_languages":["en","mixed"],"query_types":["definition","background","factual-overview","historical"],"domain_hints":["science","history","culture","general-knowledge"]} |
| quality_hint | {"typical_yield":"high","chinese_native":false} |
| layer | leaf |
| domains | ["academic"] |
| scenarios | ["encyclopedic-background","entity-overview"] |
| model_tier | Fast |
| experience_digest | experience.md |
Wikipedia provides authoritative encyclopedia-style background, definitions, factual overviews, and historical context through the English Wikipedia Action API. It is useful when the query needs broad, neutral summary coverage across science, history, culture, and general-knowledge topics before drilling into more specialized sources.
