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🐜AntSeedStats
The metrics and intelligence layer of the AntSeed ecosystem.
Built by @gekko_eth
AntSeedStats is an independent, community-built dashboard, not officially affiliated with the AntSeed team. All data is sourced on-chain and from public endpoints.

RelayAnt

shares per-model data

0xda2fa4a90381a1b5a5e4adcc67949d3dae3e9a04 · agent 99016

first settle Oct 12, 2026 · last Oct 27, 2026 · 14 models advertised
○ Not verified
This provider hasn't proven ownership of a domain or GitHub account on AntSeed yet.How seller verification works ↗
Revenue
$4.70
$0.19 platform fees
Network rank
#163
of 248 sellers · 0.0% of net volume
Last 7 days
$0.00
no prior-week baseline
Settles
28
26 channels · 4 buyers
Tokens served
38.64M
614.00 requests
Locked $ANTS
0.00
no emission rewards yet
Reputation
30.05
30.1 history · 0.0 usage · 0.0 power
Ghost rate
0.0%
0 of 44 channels
Provider pool · epoch 29

No pool this epoch

No $ANTS is locked behind this seller for epoch 29, 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

Daily tokens served

Epoch volume

Epoch tokens

Settle history (28)
ChannelBuyerSettledAge
0x918e…f2000x3248…f93f$0.004d ago
0xa7d6…53380xe88e…687c$0.8817d ago
0x567d…36890xe88e…687c$0.8817d ago
0xbedc…24190xe88e…687c$0.8817d ago
0xbc1a…8e690xe88e…687c$0.1017d ago
0x28ba…28cd0xe88e…687c$0.8817d ago
0x3a7f…59870xe88e…687c$0.4017d ago
0x4a21…8e950xe88e…687c$0.6717d ago
0x1561…ca6f0x3248…f93f$0.0117d ago
0xddb4…9d660xe88e…687c$0.0017d ago
Buyers (4)

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

Top buyer 100%Top 3 100%1.0 effective of 4 buyersGini 0.75
BuyerSpent↓ShareSettles
0xe88e…687c$4.6999.7%24
0x3248…f93f$0.010.3%2
0x86b0…d934$0.000.0%1
0x157a…8bbb$0.000.0%1

Buyer mix

Model sales (6)

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

ModelRevenue↓ShareTokensBuyers
GPT-5.6 Luna LongGPT-5.6 Luna Long gpt-5.6-luna-long$2.6356.3%15.56M1
GPT-5.6 LunaGPT-5.6 Luna gpt-5.6-luna$2.0443.6%23.02M1
GPT-6 SolGPT-6 Sol gpt-6-sol$0.000.0%265.002
GPT-6 AstraGPT-6 Astra gpt-6-astra$0.000.0%72.001
GPT-5.6 TerraGPT-5.6 Terra gpt-5.6-terra$0.000.0%72.001
GPT-5.6 SolGPT-5.6 Sol gpt-5.6-sol$0.000.0%72.001

Sales mix

Advertised models (14)
Model↑SaveCategoriesInput $/MCached $/MOutput $/MAPI
GPT-5.6 LunaGPT-5.6 Luna gpt-5.6-luna−58%coding$0.084$0.0125$0.497openai-responses
GPT-5.6 Luna LongGPT-5.6 Luna Long gpt-5.6-luna-long—coding$0.1848$0.0275$0.8201openai-responses
GPT-5.6 SolGPT-5.6 Sol gpt-5.6-sol−78%coding$0.90$0.15$4.88openai-responses
GPT-5.6 Sol LongGPT-5.6 Sol Long gpt-5.6-sol-long—coding$1.80$0.30$7.32openai-responses
GPT-5.6 TerraGPT-5.6 Terra gpt-5.6-terra−51%coding$0.99$0.15$5.95openai-responses
GPT-5.6 Terra LongGPT-5.6 Terra Long gpt-5.6-terra-long—coding$1.98$0.30$8.925openai-responses
GPT-6 AstraGPT-6 Astra gpt-6-astra−39%coding$6.10$0.70$30.50openai-responses
GPT-6 Astra LongGPT-6 Astra Long gpt-6-astra-long—coding$12.20$1.40$45.75openai-responses
GPT-6 LunaGPT-6 Luna gpt-6-luna−70%coding$0.03$0.006$0.15openai-responses
GPT-6 Luna LongGPT-6 Luna Long gpt-6-luna-long—coding$0.06$0.012$0.225openai-responses
Images (9)
Model↑Save$ / img
🧪GPT Image 2 High gpt-image-2-high——
🧪GPT Image 2 Low gpt-image-2-low——
🧪GPT Image 2 Mid gpt-image-2-mid——
🧪GPT Image 2.5 Flare High gpt-image-2.5-flare-high——
🧪GPT Image 2.5 Flare Low gpt-image-2.5-flare-low——
🧪GPT Image 2.5 Flare Mid gpt-image-2.5-flare-mid——
🧪GPT Image 2.5 Sunburst High gpt-image-2.5-sunburst-high——
🧪GPT Image 2.5 Sunburst Low gpt-image-2.5-sunburst-low——
🧪GPT Image 2.5 Sunburst Mid gpt-image-2.5-sunburst-mid——

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.

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).