Sauva
✓ Verified shares per-model data serves free tier0x0c90fa28fa0cd002a6eb42167a929e7f3987f70e · agent 144710
first settle Oct 15, 2026 · last Oct 27, 2026 · 9 models advertisedWho stakes into this poolantseedmarkets ↗
Staking is delegated: anyone can lock $ANTS into a registered seller's pool, so these are frequently not this seller. What the pool earns is its usage share multiplied by its power, and power is stake multiplied by the epochs still left on each lock — so a pool with traffic and no stake earns almost nothing, and a pool with stake and no traffic earns nothing at all. See all 2 positions → or the whole market →
Daily settled USDC
Daily tokens served
Epoch volume
Epoch tokens
| Channel | Buyer | Settled | Age |
|---|---|---|---|
| 0xf6be…5f62 | 0x99c3…f4a6 | $1.04 | 10m ago |
| 0xf6be…5f62 | 0x99c3…f4a6 | $0.66 | 19m ago |
| 0x50b0…db8b | 0x2d41…ad90 | $0.04 | 26m ago |
| 0xbc80…87b5 | 0x99c3…f4a6 | $0.71 | 26m ago |
| 0xa982…fc4b | 0x2d41…ad90 | $0.02 | 66m ago |
| 0xbc80…87b5 | 0x99c3…f4a6 | $0.12 | 82m ago |
| 0xa982…fc4b | 0x2d41…ad90 | $0.03 | 85m ago |
| 0xa982…fc4b | 0x2d41…ad90 | $0.03 | 2h ago |
| 0xa982…fc4b | 0x2d41…ad90 | $0.04 | 2h ago |
| 0xa982…fc4b | 0x2d41…ad90 | $0.02 | 3h ago |
How this seller's revenue is distributed across the buyers it serves.
| Buyer | Spent↓ | Share | Settles |
|---|---|---|---|
| 0x99c3…f4a6 | $985.13 | 1,020 | |
| 0x1e8e…fb30 | $14.35 | 23 | |
| 0x2d41…ad90 | $7.45 | 245 | |
| 0x3248…f93f | $0.55 | 8 | |
| 0x99f8…19b4 | $0.54 | 2 | |
| 0x0688…66c8 | $0.19 | 3 |
Buyer mix
What this seller actually sells per model, from settlements that share per-model data on-chain.
| Model | Revenue↓ | Share | Tokens | Buyers |
|---|---|---|---|---|
 GPT-6 Astra gpt-6-astra | $806.70 | 160.72M | 2 | |
| GPT-6.1 Sol gpt-6.1-sol | $153.58 | 172.61M | 8 | |
| GPT-5.6 Sol gpt-5.6-sol | $14.85 | 15.87M | 3 | |
| GPT-6 Sol gpt-6-sol | $0.89 | 409.92k | 5 | |
| GPT-5.6 Terra gpt-5.6-terra | $0.86 | 122.33k | 3 | |
| GPT-5.6 Luna gpt-5.6-luna | $0.12 | 158.25k | 3 | |
| GPT-6 Luna gpt-6-luna | $0.03 | 151.59k | 4 | |
| GPT OSS 20B gpt-oss-20b | $0.01 | 269.07k | 4 |
Sales mix
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.
Served for free: 253.15k tokens · 1.38k requests · 177 buyers · since Oct 19, 2026.
| Model | Tokens↓ | Share | Requests | Buyers |
|---|---|---|---|---|
 GLM 4.7 Flash glm-4.7-flash | 174.90k | 1,314 | 176 | |
| GLM 4.5 Flash glm-4.5-flash | 78.12k | 59 | 6 | |
| GLM 4.6v Flash glm-4.6v-flash | 133.00 | 5 | 2 |
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 revenue, rankings or paid totals.
| Model↑ | Save | Categories | Input $/M | Cached $/M | Output $/M | API |
|---|---|---|---|---|---|---|
| GLM 4.7 FlashFREE glm-4.7-flash | −100% | free, coding, fast | $0.00 | $0.00 | $0.00 | openai-chat-completions |
| GPT OSS 20B gpt-oss-20b | −50% | coding, reasoning | $0.009 | $0.009not advertised | $0.04 | openai-chat-completions |
| GPT-5.6 Luna gpt-5.6-luna | −30% | coding, agents, reasoning | $0.14 | $0.014 | $0.85 | openai-responses |
| GPT-5.6 Sol gpt-5.6-sol | −30% | coding, agents, reasoning | $2.80 | $0.28 | $14.00 | openai-responses |
| GPT-5.6 Terra gpt-5.6-terra | −30% | coding, agents, reasoning | $1.40 | $0.14 | $8.40 | openai-responses |
| GPT-6 Astra gpt-6-astra | −30% | coding, agents, reasoning | $7.00 | $0.70 | $35.00 | openai-responses |
| GPT-6 Luna gpt-6-luna | −30% | coding, agents, reasoning | $0.07 | $0.007 | $0.35 | openai-responses |
| GPT-6 Sol gpt-6-sol | −30% | coding, agents, reasoning | $1.40 | $0.14 | $7.00 | openai-responses |
| GPT-6.1 Sol gpt-6.1-sol | −30% | coding, agents, reasoning | $1.40 | $0.07 | $7.00 | openai-responses |
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).