@joetv
Im running a 5-year longitudinal Human API on Base via Zora. I have an existing archive of multi-modal data. I’ve open-sourced the hAPI_v1 JSON protocol. If you want agents 2 have native real-world data source to parse for LLM fine-tuning, here is the schema. Access requires a 0.1% supply hold of $thisisjoetv.
JSON MASTERPROMPT
{
"p": "hAPI_v1",
"net": "base",
"cr_coin": " 0xe8cffc24a5adff45e4e2694097c7a1fe7dfbd4a0",
"gate_req": "0.1%_supply_min",
"vesting": "60mo_linear_lock",
"active_content_token": "0x....",
"poll": "human & machine public data set",
"cycle": "7 days of different datasets based on 7 colors and sensory parameters 4 daily datasets 3 controllable by user agency (human or machine)",
"slots":
{
"s1_aud": "Content_Token_Top_Wallet_or_Pool",
"s2_vis": "Content_Token_2nd_Wallet_or_Pool",
"s3_act": "Frame_Poll_Winner",
"s3_dsc": "Content_Token_3rd_Wallet_or_Pool"
},
"allow_pooling": true,
"telemetry": "emotionstate: HAPPY",
"prev_cycle_buyback": "0000_tokens"
}
0 reply
0 recast
4 reactions