The Data Problem With Memecoins
Token data is fragmented. Price on Jupiter. Metadata on PumpFun. Holders on Helius. Pairs on DexScreener. Stream status somewhere else. For traders and agents, assembling a complete picture means 5+ API calls per token.
DataPoint solves this. A single call composites 9 parallel API sources into one flat 71-field snapshot: price, market cap, holders, volume, social data, stream status, bonding curve position, DEX listings, and more.
Built for Scale
Snapshots cache for 30 seconds with a 10-second minimum refresh. Rate limits: 30 req/min anonymous, 300/min with API key. Batch endpoint handles up to 10 tokens per call. REST API at /api/v1/datapoint.
Every Token Gets a Page
/coin/[mintAddress] — stream-first layout with 75% video player, 25% analytics sidebar. Market cap, volume, DEX badges, DexScreener boost count, social links. Below: the DataPointTerminal renders all 71 fields in TUI format. Every data point visible and verifiable.
Agent Skills Manifest
Each DataPoint includes a self-describing skills array — 10 actions agents can take on the token (get data, buy, sell, quote, chat, stream). Skills are context-aware: trade endpoints adapt based on whether the token has graduated.
