feat: add Twitter/X social research providers#2
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dobosmarton merged 2 commits intomainfrom Feb 16, 2026
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Add CLAUDE.md with full project strategy, stack decisions, architecture overview, and implementation roadmap.
Add two new research sources for Twitter/X social signals: - SocialDataClient: full Twitter search via SocialData.tools API with tweet text, engagement metrics, and author info - SerperClient.search_twitter(): Twitter results via Google SERP with author extraction from x.com/twitter.com URLs - SocialDataProvider: ResearchProviderPort implementation with cached collection and mock fallback - SerperProvider: extended to collect Twitter discussions - ResearchSession: twitter_results accumulation and dedup - CollectionConfig: include_twitter flag for opt-in activation - ResearchCollector: twitter merge logic across providers Includes test fixtures and full test coverage for both providers.
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Summary
search_twitter()method for Twitter results via Google SERP, including author extraction from x.com/twitter.com URLsinclude_twitterflag toCollectionConfigfor opt-in activation of social signal collectionResearchSessionandResearchCollectorwith twitter result accumulation, dedup, and cross-provider merge logicCLAUDE.mdwith project strategy, architecture decisions, and implementation roadmapNew components
verdandi/clients/socialdata.pyverdandi/providers/socialdata.pyResearchProviderPortimplementation with cached collectionverdandi/clients/serper.pysearch_twitter()+_extract_twitter_author()Test plan
TestSocialDataClient— API response parsing, mock fallback, empty/malformed data handlingTestSerperClient.test_search_twitter_parses_response— fixture-based response parsingTestSerperClient.test_extract_twitter_author— URL pattern extraction for x.com and twitter.comTestSocialDataProvider— full provider lifecycle with cached collectionTestSerperProvider— extended with twitter collection assertionsTestResearchCollector— twitter merge logic across providersserper_twitter.json,socialdata_search.json