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monid-ai/activegraph-monid
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Python
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Run activegraph-monid with the goal 'Summarize [company name] funding history' and a $2 budget. Show me the output memo, which sources were used, and the confidence score for each claim.
I want to fork a previous activegraph-monid trace and replace one data source. Walk me through how the forking and replay mechanism works without re-running the whole pipeline.
Show me the SQLite trace schema for activegraph-monid, what event types are recorded and how can I query them to understand what decisions the agent made?
I want to add a new data source integration to activegraph-monid. What does the agent expect from a data endpoint and how does it build and validate requests?
Run activegraph-monid on the question 'Who are the main competitors of [company]?' and explain step by step how it decides which Monid endpoints to query.
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