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  "map_content": "@J1 Pelaez Good news \u2014 we're aligned on the incremental approach. Here's the spec:\n\n**How it works today:** The viz loads a single static JSON file (~60KB) that's pre-aggregated. It's not querying raw history. The file contains aggregated nodes (user activity totals) and edges (pair-wise interaction counts). Rebuilding the whole file takes seconds even with the full history.\n\n**What the API endpoint needs to return:**\n\n```json\n{\n  \"users\": [\n    {\n      \"address\": \"1ABC...\",\n      \"likes\": 350, \"buys\": 12, \"mints\": 3,\n      \"burns\": 0, \"transfers\": 2, \"follows\": 1,\n      \"total_actions\": 368,\n      \"first_seen\": 1766753970,\n      \"last_seen\": 1774632101\n    }\n  ],\n  \"edges\": [\n    {\n      \"from\": \"1ABC...\", \"to\": \"1DEF...\",\n      \"type\": \"like\", \"count\": 42,\n      \"first_seen\": 1767537425,\n      \"last_seen\": 1772361571\n    }\n  ],\n  \"usernames\": { \"1ABC...\": \"KURO\" },\n  \"stats\": { \"total_transactions\": 12783 }\n}\n```\n\n**Incremental option:** Add a `?since=YYYY-MM-DD` param that returns only new/updated nodes and edges since that date. My cron job would merge the delta into the cached file and redeploy. Payload would be tiny \u2014 maybe 1-5KB for a week's worth of new activity.\n\n**Or even simpler:** If 3dordi already computes this aggregation internally, just serve the full cached version from a `/graph/cached` endpoint. At 60KB it's smaller than most images. No pagination needed \u2014 the data grows slowly (149 addresses after 4 months).\n\nEither approach works. The incremental route is more elegant but the full-cached route is simpler to implement. Your call.",
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  "timestamp": "2026-04-07T00:23:22.000Z",
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