OYM Live Data · Morpheus project review

Live Inference Activity

Daily on-chain activity on the Morpheus Inference Contract on Base, reconstructed from every SessionClosed event since the December 2025 redeploy. Plus the access side: MOR locked into the Morpheus Marketplace API builder subnet for daily IPS credits at app.mor.org. Refreshed daily.

Glossary

  • Session. One paid run of an AI prompt through a Morpheus provider. Opens when the user (or the API gateway acting on their behalf) picks a provider and locks collateral; closes when the model finishes generating. Each session is a record on Base. Why care: a session is the unit of real demand on the network.
  • Provider. Anyone running a GPU node that serves inference. Each provider has its own Base address. Counting distinct addresses shows how many independent operators are actually closing work. Why care: Morpheus's freedom score depends on this not being one or two providers in a trench coat.
  • MOR earned. What a provider is owed when a session closes, calculated strictly on-chain as (min(closedAt, endsAt) − openedAt) × pricePerSecond. The "% claimed" badge tracks how much of that has actually been pulled to the provider's wallet. Why care: bottom-line economic activity. What was paid for inference and what a provider got for delivering it.
  • Tokens processed. The input and output token counts the provider signs into the session's closeout receipt. We read the attested totals straight from the receipt, the same on-chain source tech.mor.org reports from. Why care: the closest measure of real work done, but the provider self-reports it; the chain only enforces that they signed it.

The Morpheus team's tech.mor.org publishes a throughput dashboard from the same on-chain SessionClosed receipts. OYM indexes that source independently and adds the framing the raw counts skip: which figures are contract-enforced (MOR earned) versus provider-attested (tokens), and how much of the demand is emissions-subsidised rather than user-paid.

Live Inference Activity

Daily activity on the Inference Contract. Top row is the MOR providers earned for sessions that closed that day (capped at session endsAt). Bottom row is provider-attested tokens served (input + output counts from the signed closeout receipt).

MOR earned
183.95K
last 60 days · 79% claimed
Tokens (attested)
25.54B
100% of sessions
Sessions
123,880
29 unique providers all-time

MOR earned per day

Trustless · on-chain math
25.5K12.7K0

Tokens served per day

Provider-attested · signed receipts
1.2B604.0M0
27 Jun 9 Jul 21 Jul 1 Aug 13 Aug 25 Aug
Mined from SessionClosed events on the LumerinDiamond Inference Contract at 0x6aBE…030a via Alchemy and the public Base RPC. MOR earned is on-chain math: (min(closedAt, endsAt) − openedAt) × bid.pricePerSecond, the entitlement for work delivered. The "79% claimed" badge above is providerWithdrawnAmount, the portion providers have actually pulled to their wallets so far via claimForProvider(); the rest is held in the contract pending claim. Tokens served is the provider-attested input + output counts from the closeoutReceipt (7-field format). Provider-signed, so self-reported and not independently verified, but it is the same receipt basis Morpheus's own dashboard reports from. All-time attested: 40.1B. Morpheus publishes a higher all-time figure (~14.93B as of June 2026) that adds a clamped estimate for the Dec-2025/Jan-2026 free open beta, whose 5-field receipts predate on-chain token counts; we show only the receipt-attested total we can verify. View contract on BaseScan. Source code at MorpheusAIs/Morpheus-Lumerin-Node. Refreshed daily. Last updated 2026-08-25.

Top models, last 30 days

Attested input + output tokens per model, read from provider-signed closeout receipts and summed over the last 30 days. Model names resolved on-chain from the registry.

deepseek-v4-flash
4.04B
glm-5.2
2.80B
DeepSeek V4 Flash 0731
2.07B
deepseek-v4-pro
1.05B
glm-5.2:web
847M
gemini-3.1-pro-preview
251M
Claude Opus 4.7
217M
glm-5.2
157M
moonshotai/kimi-k3
143M
deepseek-v4-flash
83M

Reading the on-chain openers

Inference demand on Morpheus is real and growing, measured from provider-signed receipts, but it is intermediated almost entirely through the API Gateway, and part of it is off-chain: gateway users who pay in credits emit no on-chain receipt. The on-chain session opener is the address that opened the session, which on the gateway path is a shared API Gateway service wallet aggregating many end users behind one address (THROUGHPUT_DATA_SOURCES.md, section 4). Because of that aggregation, on-chain opener counts measure gateway service wallets, not end users, so they cannot show whether end-user demand is concentrated or broad. End-user diversity is not observable from chain data by construction; it would need gateway or app.mor.org billing data held by the protocol.

Source: SessionClosed receipts on the Lumerin Diamond, Base. Tokens are provider-attested. As of 25 Aug 2026.

Native vs gateway: who opens the sessions

The throughput above is one number per day. Split it by the wallet that opened each session and you can see how the demand reaches the network. The API gateway at app.mor.org opens sessions for its customers under a few service wallets, while self-custody clients like OpenClaw, Node Neo, or a local c-node open their own.

The self-custody share has climbed from a few percent in February toward roughly a third by mid-2026. That is the decentralisation signal worth watching: more inference reaching providers without passing through one hosted front door.

Who opens the sessions

Monthly attested tokens split by the wallet that opened each session. API Gateway is app.mor.org opening sessions for its customers under a few service wallets. Native is everything self-custody: OpenClaw, Node Neo, a local c-node.

Native share
37.9%
Aug · up from 4.3% in Feb
16.11B8.06B0
Feb Mar Apr May Jun Jul Aug
Native (self-custody) API Gateway
Each session records the wallet that opened it. The gateway opens one session per customer request under a handful of service wallets, so those wallets carry a large, persistent share of volume; every other opener is a self-custody client. We rank openers by attested token volume and tag the gateway service wallets, then bucket the rest as native. The split reproduces the Native vs API Gateway series on tech.mor.org within a few points per month. This is a different cut from the funding split above: that one asks who pays for a session, this one asks who opens it. Token weight is the provider-attested input + output from the closeout receipt, so the pre-launch beta months carry no tokens here. Refreshed daily. Last updated 2026-08-25.

Supply health

The charts above show whether usage is growing. This shows whether the small provider set is keeping up, and how close it is to its ceiling. Read the two together: demand rising while latency stays flat is health; demand rising while latency climbs is the turn. Today demand settles well inside headroom, so treat this as a baseline rather than a live alarm.

Supply vitals

Last 60 days · 7d line vs 30d band
Median TTFT 4.6s +5% vs base
Inside baseline band
Mean TPS 47.5 +13% vs base
Inside baseline band
Dispute rate 0.00% +86% vs base
Fast line above the band for 3+ days
Provider count 11 +22% vs base
Inside baseline band
Each panel plots the daily series (faint), a 30-day rolling-median baseline band (dashed, shaded) and a 7-day rolling-median fast line. The signal is the fast line leaving the band and staying out for 3+ days rather than a single-day spike. Median TTFT and mean TPS are provider-attested from the signed closeout receipt; dispute rate is the share of sessions closed with closeoutType = 1. Windows are config constants, set to be retuned once the real variance in these thin series is known.

Saturation curve

Per provider, each point is one day: tokens served that day against that day's median TTFT. Points are binned by load and fitted with a monotone trend. A flat left region is healthy headroom; where TTFT turns upward is that provider's inferred practical ceiling. The most recent 14 days are highlighted.

0s 5s 10s 16s 2K119K9.1M698.8M Daily tokens served (log scale) →
0xb399…e362 0x0102…bb03 ceiling ~16.3M/day 0x5a37…7baf ceiling ~196.3M/day 0x8b59…6302 ceiling ~104.0M/day
Serving capacity is off-chain, so the upward inflection is an inferred practical ceiling rather than a hard limit read from the chain. With one to three active providers these curves track one or two machines: the signal is present but thin until demand rises. The load axis is settled on-chain demand only; gateway usage billed off-chain in dollars emits no on-chain receipt, so true load is at least this and the gap is not yet quantified.

Concentration and resilience

Two bottlenecks sit on different axes. Resilience is a single point of failure, present now at one to three providers and independent of demand. Capacity is latent, arriving only as demand approaches aggregate serving capacity. This panel measures resilience; the saturation curve measures capacity.

Provider count (0–13) Top-provider token share (0–100%)
0
single-provider days (last 60)
0.32
latest HHI concentration (0–1)
Models served by only one provider (last 30 days) · 114 in total
  • Aion 3.0
  • Aion 3.0 Mini
  • Claude Opus 4.8 Fast
  • clause-opus-4.8:web
  • DeepSeek V4 Flash
  • DeepSeek V4 Pro 0813
  • DeepSeek-V3.2
  • deepseek-v4-flash
  • deepseek-v4-flash
  • deepseek-v4-pro
  • Gemini 3.5 Flash-Lite
  • Gemini 3.6 Flash
  • +102 more
HHI is the Herfindahl index of daily token share across providers: 1.0 is a single provider, lower is more even. Single-provider days count days where only one address closed sessions. A model served by only one provider over the window has no fallback if that operator drops it.

Headroom read. The busiest provider with a discernible ceiling (0x0102…bb03) has run as high as 4276% of its estimated serving ceiling: the daily load where its latency starts to climb (~16.3M tokens/day), so readings above 100% mean it has pushed past that comfort point on its busiest days. The figure is an off-chain estimate inferred from the latency curve rather than a hard cap. The network has 11 independent providers closing sessions on the latest day.

The Morpheus team's tech.mor.org publishes the raw throughput counts from the same receipts. This section adds the supply-health reading those counts skip: the saturation curve, and resilience kept separate from capacity. Refreshed daily. Last updated 2026-08-25.

Two metrics, two trust models

MOR earned is the bottom-line economic activity on the network, calculated trustlessly from session start, end, and price. Tokens processed is provider-attested: the input + output counts signed into the closeout receipt. Treat one as audited revenue, the other as a self-reported throughput figure.

Why the two rows can move apart

MOR earned is priced on time rather than tokens. The on-chain formula is (min(closedAt, endsAt) − openedAt) × bid.pricePerSecond, so a provider earns on how long a session stays open and the bid it was opened at, whatever the throughput inside that window. Tokens served counts the work itself. The two are independent, so MOR earned can spike while tokens served holds at its usual level.

When that happens, the driver is longer sessions or higher bids, more committed compute time or pricier capacity, rather than more inference. The tell is MOR per session and MOR per token both jumping while the session count stays flat or falls. Read that as provider revenue and reserved capacity moving, not a demand surge.

For a read on actual usage, the throughput row is the cleaner signal. Attested tokens served is the inference delivered, independent of price and duration, with session count and the spread of models served as corroboration. MOR earned answers how much providers were paid; tokens served answers how much the protocol was used.

Where the MOR actually comes from

Over 98% of all sessions are opened with isDirectPaymentFromUser = false: the user locks collateral that gets returned to them at session close, and the provider is paid out of the protocol's fundingAccount treasury on Base. The treasury is funded by the 24% compute pool slice of MOR emissions. Most inference today is subsidised by emissions, not paid for by users. The runway implications are spelled out next.

The direct-payment path barely exists in practice. Just 4,823 sessions have ever used it, 1.5% of the total, all between 8 March and 27 April 2026 across three wallets, and they paid providers 65 MOR between them. Nothing since. Session length is the reason: the contract computes it from your stake and the compute-pool ratio without reading the direct-payment flag at all, so paying buys exactly the compute staking would have given you free. No interface exposes the option either, and the Morpheus session-lifecycle docs document only the staked flow.

The gateway's dollar side sits outside all of this. Card and crypto payments settle off-chain with whoever runs the gateway, so any decision to buy and stake MOR with that revenue is the operator's own, and the protocol mandates nothing of the sort. Treat gateway fiat as off-chain operator revenue that the protocol neither sees nor depends on, and look for structural MOR demand only where the chain can actually show it.

Sustainability headroom

Read against the Diamond on 15 August 2026, the on-chain compute pool (getComputeBalance) holds 2,799,521 MOR. The contract caps daily settlement at 1% of that, so the budget is 27,995 MOR per day. Provider claims run at roughly 800 MOR per day, about 2.9% of the cap.

The pool itself tells a two-phase story. The compute pillar accrues about 2906 MOR per day. Through July claims ran well ahead of that and the balance fell from a peak of 2,809,457 MOR on 20 July to 2,753,562 by 1 August, about 4,650 MOR a day. Almost all of it was one wallet exploiting a stake-lock bug that a facet swap closed on 31 July. Since then the pool has been growing again, currently by 2106 MOR per day, and the funding Safe that actually pays providers holds 115,952 MOR, roughly 145 days of claims. Any rate quoted for this network has to say whether its window straddles 31 July 2026, because a 30-day average across that date still reports the pool draining.

The access side grew alongside it. MOR committed to inference access, counting the gateway's opener wallet with everything held in the Diamond as session stake and holds, went from 123,259 MOR on 16 June 2026 to 801,079 MOR today. The gateway sits well below its ceiling, though: across the first fortnight of August it drew about 33% of the daily ration its own committed MOR entitles it to, and 3.5% on the last day of that window. So the position grew ahead of demand rather than because the ration was binding. Access demand is visible on-chain, but users posting their own MOR is token demand rather than revenue.

A caveat about the early window

The Morpheus API ran an open beta from contract redeploy in December 2025 until 2 March 2026, when it went officially live. Across the beta, providers quoted near-zero prices by design, so MOR earned is flat across the entire pre-launch period regardless of session volume. Some of the provider-signed token counts from the beta are also clearly test traffic. Headline numbers above sum the last 60 days, which falls almost exactly inside the post-launch era and keeps them representative of paid-era activity. Lifetime totals across the full dataset (including beta) live in the underlying JSON.

Provider concentration

Thirty-one addresses have ever closed a session and recent days run with seven to thirteen, so the supply side has widened since this page first went up. The concentration moved to value instead. One operator, mordiem, runs two registered providers: mordiem.com, which opens its own sessions, and router.mordiem.com:3333, which serves the gateway. Together they account for 79% of every MOR the network has ever paid a provider. That is a recent shift: mordiem earned nothing before May 2026 and mor.org's own provider led the network through March and April. Provider earnings are capped at each provider's posted stake per 365-day period, so this concentration tracks committed capital rather than being unbounded. Pre-redeploy activity at the prior contract address is out of scope for this MVP.

The other side of the same coin: stake-for-access

The session settlement chart above is the use side of the network. The chart below is the access side: MOR locked into the Morpheus Marketplace API builder subnet to earn daily credits at app.mor.org. Same protocol, two different demand signals. Settlement counts work delivered. Stake counts intent to use the API.

Stake-for-access: Morpheus Marketplace API subnet

MOR locked into the official builder subnet that drives daily credit allowance at app.mor.org. Staked MOR stays in the contract; users earn credits proportional to their share of the subnet's total stake.

Total staked
189.9K MOR
10% of all builder subnets
Stakers
71
347 deposits / 88 withdrawals all-time

Total staked, end of day

On-chain · indexed from Base
194.4K97.2K0
5 Jun 19 Jun 1 Jul 17 Jul 5 Aug 23 Aug

Top builder subnets by stake

Mor.org-BASE 370.8K MOR (12)
Morpheus Marketplace API 189.9K MOR (71)
Lumerin Inference Node 160.2K MOR (2)
MOR-StakeVault-Base 149.1K MOR (20)
MySuperAgent 143.4K MOR (22)
MOR Deployers 112.4K MOR (2)
MORDIEM 92.4K MOR (9)
ShelterGuard 82.0K MOR (1)
Indexed from UserDeposited and UserWithdrawn events on the BuildersV4 contract at 0x42bb…f4b9, filtered to the Morpheus Marketplace API subnet (0x415471125cc4…). All-subnet snapshot sourced from dashboard.mor.org. Refreshed daily. Last updated 2026-08-25.

Stake here doesn't pay providers; it just measures your share of the daily credit allocation. The MOR that ends up paying providers comes from the protocol treasury, as covered above. So this chart and the inference activity chart together describe the full economic picture: how much MOR is parked for access vs how much is being settled per session. Both are tracked daily.

Sources and reproducibility

If you want to use this dataset in your own research or writing, please attribute Own Your Mind and link back to this page.

For the full Morpheus project review (Freedom and Returns scoring, tokenomics, participation guide), see the Morpheus project page. For the MOR tokenomics deep-dive (Power Factor, demand-subsidy mechanics, burn under MRC43), see How MOR Actually Works. For every builder subnet ranked with trust signals, see the Morpheus subnet directory.