PC0000023 is a deal-token, not a network token

Tradable Singapore Fintech SSL (PC0000023) behaves like a tokenized position in a single private-credit deal, not a “project token” with a growth-driven utility flywheel. CoinGecko lists it as an ERC-20 on zkSync Era with contract 0x5c8c39e167c604b036afd3fbb65426f9fe78ce6d in its ERC-20 listing.

If you need a quick refresher on how these categories differ, see our tokenomics FAQ.

What you can verify from Tradable’s own product documentation is the chassis: originators list a deal, and an ERC-20 smart contract is created to represent that deal on-chain. The token is embedded with compliance requirements, including transfer restrictions to prevent transfers to addresses that do not meet the deal’s requirements.

On the “what is the underlying” question, primary documentation that publicly pins PC0000023 to a named borrower or a full term sheet is thin. A secondary exchange write-up claims the asset is a Singapore-based fintech senior delayed draw term loan, and that Tradable is the facilitator on zkSync Era. Treat that as a directional label, not as a substitutable offering document.

That thinness matters for tokenomics work. For private-credit deal tokens, the contract is the settlement rail. The real “token design” lives in the legal docs, the servicing waterfall, and the redemption policy. Tradable explicitly positions itself as a technology platform, and states it is not a broker-dealer. For a fund-style contrast, compare this structure to tokenized fund wrappers.

Supply mechanics: mints on funding, burns on repayment

PC0000023’s supply story is not emissions in the DeFi sense. It is balance-sheet plumbing that expands and contracts with deal funding and paydowns.

CoinGecko reports total supply 114,500,000, max supply 114,500,000, and circulating supply 100,846,154.

Tradable’s documentation makes the lifecycle mechanism explicit: when a deal closes and the originator confirms receipt of investor funds, deal tokens are minted and distributed to the investor’s preferred address.

As principal is repaid, tokens are burned. Partial repayments burn proportionally. If 10% of the deal is paid back, 10% of an investor’s deal tokens are burned. Full repayment burns the remainder.

So the market microstructure lens is simple: supply changes are lumpy, administrative, and cash-flow-driven. You should expect cliffs. You should expect bursts. You should not expect a smooth daily unlock schedule.

There is no verified public allocation table that looks like “team / investors / treasury.” That’s not an omission. It’s a different species of token. Distribution is the cap table of a deal, expressed as ERC-20 balances, gated by compliance rules.

Liquidity design: primary allocations, discretionary redemptions, and a stalled tape

The highest-impact tokenomic variable here is not supply. It is whether you can exit without taking a structural haircut.

Tradable’s on-platform process is an originator-controlled primary allocation workflow. Investors make offers. The originator can accept, reject, or modify those offers. Subscription signing is part of commitment finalization.

On redemptions, the documentation is unambiguous about who holds the switch. Investors can request a redemption from the originator. It may be approved or denied. If approved, the investor’s deal tokens are locked while awaiting proceeds.

Liquidity for those redemptions is not guaranteed by an AMM curve. It is discretionary balance-sheet support. Tradable describes the originator as a USDC liquidity provider that can deposit or remove liquidity from the deal pool at any time for the purpose of providing redemption liquidity.

Secondary trading is explicitly positioned as “coming soon.” Tradable says it will offer access to secondary trading venues in the future, and that the deal tokens are ERC-20 and interoperable with external protocols so long as compliance requirements are met.

Now look at the tape you actually have. CoinGecko states PC0000023 has $0.00 24-hour trading volume and that trading has stopped on exchanges tracked by CoinGecko. It also notes the displayed price is a reflection of the last recorded price because the token was not traded in the last 24 hours.

This is where “float concentration” stops being an academic concept. If most supply sits with a small set of KYC’d holders and there is no functioning venue, you get a price that looks stable and a market that is fragile. Stability is narrative. Liquidity is mechanism. Mechanism wins.

Cash flows: USDC rails, pro-rata accrual, and off-chain edges

Tradable’s docs describe a dual-track settlement reality. Some holders are “crypto-native” and receive on-chain distributions. Others are off-chain and receive wires, with amounts determined outside the smart contract.

For on-chain investors, interest is paid in USDC. Originators send USDC to the deal smart contract. The contract allocates interest pro-rata relative to how long and what percentage an investor owned in the deal.

Principal repayments follow the same settlement rail. Originators send USDC to the deal smart contract which disburses funds to investors. Receipt of funds is coupled to token burns, including proportional burns on partial repayment events.

For off-chain investors, Tradable describes distributions via wires to preferred bank accounts, with amounts determined by the firm’s fund administration software.

That split is a tokenomics constraint. It means the on-chain token is not necessarily the full ledger of who is economically exposed, unless the entire capitalization is on-chain. It also means token holders are exposed to operational synchronization risk between smart-contract state, administrator records, and servicing cash movements.

Funding also has an on-chain/off-chain split. For wallet-funded offers, investors pre-fund with USDC to a deal manager contract, and after finalization the funds are sent to the originator’s Circle Mint account or a custodial account to be off-ramped before transfer to an off-chain qualified custodian.

In microstructure terms, this is why “emissions” can arrive as step-functions. Drawdowns and capital calls can translate into discrete mints. Repayments translate into discrete burns. The supply is an instrument panel, not a marketing number.

Control plane: compliance gating plus upgradeable infrastructure

Two control surfaces matter more than anything else: (1) transfer permissioning and (2) upgrade authority.

Transfer permissioning is core to Tradable’s product. Tradable states originators can configure compliance requirements on a deal’s smart contract that define what investor types can access and invest. Tokens cannot be transferred to addresses that do not meet the deal’s minimum compliance requirements.

This is good for enforceability. It is also a liquidity limiter. Any secondary venue is only as deep as the permissioned set of addresses that can legally receive the token. That’s a structural cap on float velocity.

On upgrades, Tradable’s documentation says its smart contracts are deployed on zkSync and designed to be upgradeable via a UUPS approach, and that each smart contract is controlled with an Access Management contract that controls permissions across other Tradable smart contracts.

Tradable publishes smart-contract addresses for several core components, including the Access Manager at 0xd9a7937CEb7c8fC8629DDE7C8557B24ae60C3717, plus a Deal Registry, Deal Price Engine, Deal Beacon, and Deal Factory.

Upgradeable infrastructure is a trade. You gain the ability to fix bugs and extend functionality. You also introduce governance and key-management risk. If you do not have transparent, deal-specific documentation on upgrade constraints, admin separation, timelocks, and emergency powers, you have parameter uncertainty. That uncertainty is tokenomics. It changes how you should discount cash flows.

Risk: liquidity shocks beat “stable $1” narratives

CoinGecko shows PC0000023 at $1.00, with an all-time high of $1.00 and an all-time low of $1.00 (both recorded on July 3, 2025), alongside zero 24-hour volume and a “trading stopped” status on tracked exchanges.

That combination is not “low volatility.” It is no price discovery. In market-structure terms, this looks like a stale mark, not a tight market. If you are modeling this token, treat any perceived peg-like behavior as an artifact of limited trading rather than proof of a stabilizing mechanism.

If you’re benchmarking $1-mark narratives across designs, compare this with assets positioned as stablecoins (for example, Ring USD).

Dominant risk: redemption gating and liquidity discontinuities

The dominant risk is that the only meaningful exit is discretionary, episodic, and potentially unavailable at the moment you need it. Tradable’s documentation frames redemptions as originator-approved, with tokens locked during the process.

That structure creates a specific failure mode. A holder base that is small and permissioned concentrates “float” by design. If risk appetite shifts, holders all want liquidity at once. There is no continuous order book to absorb it, and the originator can deny or delay redemptions. Even when approved, liquidity is dependent on the originator (and possibly other investors) supplying USDC to the pool.

When that happens, pricing does not drift. It gaps. The token can show a stable mark on aggregators while becoming functionally untradeable. CoinGecko already flags $0 trading volume and stopped trading on tracked exchanges, which is consistent with a market that cannot currently clear at scale.

If you want the microstructure takeaway in one line: the “unlock schedule” here is the servicing schedule, and the “liquidity event” is whether redemption liquidity is posted. Those are not guaranteed, and they can change faster than the narrative around a tokenized private-credit product. If you want more notes in this style, browse our research reports.

  1. Liquidity freeze risk, Trigger: a rise in redemption requests or a reduction in originator willingness to provide USDC liquidity. Mechanism: redemptions are request-based and may be approved or denied, and approved redemptions lock tokens while awaiting proceeds, with liquidity depending on deposits to the deal pool. Who bears it: token holders who need to exit, especially smaller holders facing timing risk. Measurable indicators: persistent $0 reported volume and “trading stopped” status on major aggregators, and an increasing share of supply that appears circulating without corresponding active markets.
  2. Upgradeable control-plane risk, Trigger: a contract upgrade, a permissions change in access management, or an operational incident requiring emergency intervention. Mechanism: smart contracts designed to be upgradeable and controlled through access management that governs permissions across contracts. Who bears it: all holders, because rules around transfers, accounting, or distribution logic can change. Measurable indicators: upgrades to core registries and engines, changes in published contract addresses, and discrepancies between documented behavior and on-chain behavior after upgrades.
  3. Off-chain/on-chain synchronization risk, Trigger: servicing issues, timing mismatches, or administrative disputes around who is entitled to distributions over a period. Mechanism: on-chain investors receive USDC distributions calculated by smart contract based on holding duration, while off-chain investors receive wires determined by fund admin software; funding also involves off-ramping to off-chain custody. Who bears it: both on-chain and off-chain investors, with the highest risk to investors relying on transparent, real-time accounting as a substitute for traditional reporting. Measurable indicators: delayed distributions, changes in distribution cadence, and divergences between expected and realized accrual windows based on holding-period calculations.

If you’re building around assets like PC0000023, the work is rarely “token supply storytelling.” It is policy design for redemptions, transfer permissioning, and upgrade constraints. If you need tokenomics design services around liquidity gates and emissions that are tied to drawdowns and repayments, treat it like market-structure engineering first, marketing second.



This article is part of our Tokenomics Deep Dive series.