0xb7a2…73eb
shares per-model data uses free tier0xb7a2585ce2064855d7037e519f4b6e8beda373eb
first buy Oct 14, 2026 · last Oct 27, 2026Daily settled USDC
Daily tokens consumed
Epoch volume
Epoch tokens
By epoch
| Epoch↓ | Usage counted | Earned (ANTS) |
|---|---|---|
| Epoch 28 open · accruing | $39.07 | 342.44 |
| Epoch 27 claimed | $6.20 | 98.12 |
| Epoch 26 claimed | $0.11 | 2.00 |
| Channel | Seller | Settled | Age |
|---|---|---|---|
| 0xa99c…2ff4 | Phala | $1.00 | 26m ago |
| 0xa99c…2ff4 | Phala | $0.79 | 54m ago |
| 0xa99c…2ff4 | Phala | $0.72 | 2h ago |
| 0x195f…b169 | Phala | $0.27 | 2h ago |
| 0x195f…b169 | Phala | $0.81 | 2h ago |
| 0x195f…b169 | Phala | $0.72 | 2h ago |
| 0x7e32…bbe1 | Phala | $0.29 | 25h ago |
| 0x7e32…bbe1 | Phala | $1.14 | 25h ago |
| 0x7e32…bbe1 | Phala | $0.98 | 25h ago |
| 0x7e32…bbe1 | Phala | $0.94 | 26h ago |
How this buyer's spend is distributed across the sellers it uses.
| Seller | Spent↓ | Share | Settles |
|---|---|---|---|
| Phala 0x88c8…15d6 | $42.96 | 73 | |
| Venice.ai Proxy 0x1f22…18c9 | $2.42 | 19 | |
| Fire Ant 🔥🐜 - SOLD OUT, back tomorrow 0xbe05…bc5d | $0.03 | 1 |
Seller mix
What this buyer actually buys per model — it opts into sharing the per-model split on-chain.
| Model | Spent↓ | Share | Tokens | Sellers |
|---|---|---|---|---|
| $21.14 | 23.77M | 1 | ||
| $19.44 | 13.34M | 1 | ||
| $2.94 | 15.35M | 2 | ||
| $0.18 | 92.22k | 2 | ||
| $0.06 | 393.04k | 1 | ||
| $0.05 | 125.69k | 1 | ||
| $0.03 | 38.25k | 1 | ||
| $0.03 | 30.09k | 1 |
Purchase mix
Decoded from settlement metadata v2 (this buyer's own opt-in) — channel-cumulative, so opted-in channels contribute their full lifetime. Channels where the buyer chose not to share are excluded: every figure is a lower bound on its true totals.
What this buyer used for free, from its own signed on-chain reports — 7.54k tokens · 4.00 requests · 1 sellers · since Oct 14, 2026.
| Model | Tokens↓ | Share | Requests | Sellers |
|---|---|---|---|---|
| 7.54k | 4 | 1 |
Free mix
Decoded from AntseedFreeUsage events: buyer-signed usage reports with no payment attached, so they are easier to fake than settlements and every figure is a lower bound. Free usage is never counted in spend, rankings or paid totals.