silent-validator
off-catalog0xbb89a2793d05d6fb8af4683db967ff804d5d7301 · agent 51644
first settle May 18, 2026 · last Aug 16, 2026 · 1 models advertised🔬 Model checks
Not audited yet
earns ×1 until auditors check its models
by approved auditors · live
Revenue
$15.16
$0.61 platform fees
Network rank
#87
of 201 organic sellers · 0.0% of their volume
Last 7 days
$0.00
no activity this week
Settles
25
10 channels · 3 buyers
Tokens served
4.98M
199.00 requests
Locked $ANTS
0.00
no emission rewards yet
Reputation
0.00
0.0 power · 0.0 usage
last seen Aug 13, 2026
Ghost rate
0.0%
0 of 17 channels
Provider pool · epoch 30
No pool this epoch
No $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.
Activity over time
Daily settled USDC
Settle history (25)
| Channel | Buyer | Settled | Age |
|---|---|---|---|
| 0xc85c…741e | 0x86b0…d934 | $0.01 | 87d ago |
| 0x663c…6954 | 0x42ea…9a9f | $0.01 | 87d ago |
| 0x6f80…5047 | 0x86b0…d934 | $0.01 | 90d ago |
| 0x12dd…1777 | 0x86b0…d934 | $0.01 | 93d ago |
| 0xec87…bbb0 | 0x86b0…d934 | $0.01 | 96d ago |
| 0x44d1…caf8 | 0x86b0…d934 | $0.01 | 97d ago |
| 0x9ecd…e7d2 | 0x86b0…d934 | $0.01 | 98d ago |
| 0xf167…5d95 | 0x86b0…d934 | $0.01 | 99d ago |
| 0xb44e…dd5c | 0xe034…5561 | $0.24 | 171d ago |
| 0xb44e…dd5c | 0xe034…5561 | $0.92 | 176d ago |
Buyers (3)
How this seller's revenue is distributed across the buyers it serves.
Top buyer 99%Top 3 100%1.0 effective of 3 buyersGini 0.66
| Buyer | Spent↓ | Share | Settles |
|---|---|---|---|
| 0xe034…5561 | $15.08 | 17 | |
| 0x86b0…d934 | $0.07 | 7 | |
| 0x42ea…9a9f | $0.01 | 1 |
Buyer mix
Advertised models (1)
| Model↑ | Save | Categories | Input $/M | Cached $/M | Output $/M | API |
|---|---|---|---|---|---|---|
 DeepSeek V4 Pro deepseek-v4-pro | −51% | chat, reasoning | $0.435 | $0.435not advertised | $0.87 | 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).