▲ Apex Ant

✓ Verified shares per-model data serves free tier

0x73b4c9335fa239f9c6df3d28d5bf5d3cdf4de736 · agent 52894

first settle May 22, 2026 · last Sep 12, 2026 · 142 models advertised
✓ Verified provider
🌐
apex-ant.net
Domain ownership · DNS TXT
✓ verified ↗
@ant-apex
GitHub · ant-apex/apex-ant-verification
✓ verified ↗
🛡 Verified by  AntSeedStats  ·  re-checked 5h ago
Revenue
$2.14k
$85.50 platform fees
Network rank
#20
of 203 sellers · 0.7% of net volume
Last 7 days
$381.26
10% vs prior 7d
×1.1 momentum22.7 buyers/day
Settles
7,102
1,636 channels · 121 buyers
Tokens served
10.80B
160.19k requests
Locked $ANTS
308.97k
seller rewards · 8 accruals
Reputation
91.01
on-chain trust, no sybil flags · $101.00 staked
$1.25 ticket · 1.00 channel confidence
Ghost rate
0.1%
2 of 1,707 channels
Activity over time

Daily settled USDC

Daily tokens served

Epoch volume

Epoch tokens

Settle history (7,102)
ChannelBuyerSettledAge
Buyers (121)

How this seller's revenue is distributed across the buyers it serves.

Top buyer 23%Top 3 46%9.8 effective of 121 buyersGini 0.88
BuyerSpentShareSettles

Buyer mix

Model sales (236)

What this seller actually sells per model, from settlements that share per-model data on-chain.

ModelRevenueShareTokensBuyers

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.

Free usage (13 models)

What this seller served for free, from buyer-reported on-chain events — 16.35B tokens · 226.74k requests · 243 buyers · since Jun 30, 2026.

ModelTokensShareRequestsBuyers

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.

Advertised models (142)
ModelCategoriesInput $/MCached $/MOutput $/MAPI

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).