0xe1b5760e8fa9ce1825e75b02c8acfa75f3fa4de6 · agent 47290
first settle May 14, 2026 · last Jul 8, 2026 · 3 models advertisedNo $ANTS is locked behind this seller for epoch 30, so it accrues no recognized-usage points and earns nothing from either reward bucket, whatever it settles. A pool opens with a single 1 $ANTS starter position and can then be staked into by anyone.
| Channel | Buyer | Settled | Age |
|---|---|---|---|
| 0x91e3…612f | 0x6d7e…1e4c | $0.65 | 126d ago |
| 0x91e3…612f | 0x6d7e…1e4c | $0.67 | 126d ago |
| 0x91e3…612f | 0x6d7e…1e4c | $0.63 | 126d ago |
| 0x91e3…612f | 0x6d7e…1e4c | $0.67 | 126d ago |
| 0xb61e…8034 | 0x6d7e…1e4c | $0.65 | 126d ago |
| 0xb61e…8034 | 0x6d7e…1e4c | $0.66 | 126d ago |
| 0xb61e…8034 | 0x6d7e…1e4c | $0.65 | 126d ago |
| 0xb61e…8034 | 0x6d7e…1e4c | $0.65 | 126d ago |
| 0xb61e…8034 | 0x6d7e…1e4c | $0.65 | 126d ago |
| 0xb61e…8034 | 0x6d7e…1e4c | $0.65 | 126d ago |
How this seller's revenue is distributed across the buyers it serves.
| Buyer | Spent↓ | Share | Settles |
|---|---|---|---|
| 0x6d7e…1e4c | $566.55 | 751 | |
| 0xecbd…0f38 | $346.46 | 363 | |
| 0x0547…4fdc | $344.56 | 404 | |
| 0xaf32…92a7 | $309.27 | 314 | |
| 0x2d3c…9a81 | $90.13 | 24 | |
| 0x0583…187b | $79.98 | 83 |
What this seller actually sells per model, from settlements that share per-model data on-chain.
| Model | Revenue↓ | Share | Tokens | Buyers |
|---|---|---|---|---|
| $396.70 | 1.29B | 1 | ||
| $0.05 | 79.88k | 1 |
Decoded from settlement metadata v2 (buyer opt-in) — channel-cumulative, so opted-in channels contribute their full lifetime. Channels not sharing the split are excluded: every figure is a lower bound on this seller's true totals.
| Model↑ | Save | Categories | Input $/M | Cached $/M | Output $/M | API |
|---|---|---|---|---|---|---|
| −94% | chat, coding | $0.30 | $0.05 | $1.25 | anthropic-messages | |
| −6% | chat, math | $0.30 | $0.30not advertised | $1.25 | openai-chat-completions | |
| — | chat, math | $0.30 | $0.30not advertised | $1.25 | openai-chat-completions |
Catalog the seller advertises — "likely candidates" for what it serves, not the model used in any specific purchase (per-purchase model is not on-chain).