Codec Flow

Overview

Codec Flow market snapshot: Price $0.00750428, market capitalization $7.50M, and reported 24-hour volume $212.89K.

Trading activity: Reported 24-hour volume equals 2.84% of market capitalization. The local markets snapshot lists XT.COM, PumpSwap and Raydium among venues with observed trading activity.

YearBull indicators: YearBull Rank #3,042. Bull Score 30/100. YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment. Cycle Early. Observed price change: 24h 22.56% · 7d 8.07% · 30d -35.15%.

Values are descriptive and should be read together rather than as a price forecast. Read the YearBull methodology. Snapshot date: 2026-10-27. Data history: 90 days available in the latest 90-day window.

Methodology responsibility: YearBull’s analytical methodology and presentation rules are developed and maintained by Alan Zelvin, Founder & Lead Crypto Researcher. This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.

What is Codec Flow (CODEC)?

YearBull Project Summary: The reviewed primary-source record presents the documented purpose, mechanism and token context for Codec Flow. It separates confirmed source material from information that requires current independent verification, including market data, supply figures, contract state and operational availability.

Source description

“CodecFlow is the first Operator platform built on Vision-Language Actions (VLAs), enabling AI to see, reason, and act across screens or robotic systems. It includes Fabric, a multi-cloud execution layer for GPU-intensive or compute-heavy workloads. Fabric optimizes workload placement by sampling live capacity and pricing across connected providers and selecting the lowest-cost node that meets specified requirements. CodecFlow also developed Operator Kit (optr), a lightweight toolkit for building agents that operate on desktops, browsers, simulations, and robots. Optr provides composable utilities for managing actions, state, episodes, and safety, with a modular design that keeps other components pluggable. Together, these components form a framework that supports the development and deployment of agents across diverse digital and physical environments”

This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.

Codec Flow (CODEC) project facts

Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.

Codec Flow (CODEC) FAQ

How does CodecFlow describe Vision-Language Actions (VLAs) within its platform?

CodecFlow presents Vision-Language Actions as a foundation for agents that can interpret visual information, reason about what they observe, and take actions. The project states that these capabilities can operate across computer screens and robotic systems, positioning VLAs as a bridge between perception, decision-making, and execution in both digital and physical environments.

What role does Fabric play in CodecFlow’s architecture?

Fabric is described as a multi-cloud execution layer for GPU-intensive and other compute-heavy workloads. It samples live capacity and pricing from connected providers, then selects a node that satisfies the specified requirements at the lowest available cost. This positions Fabric as the workload-placement component of the broader CodecFlow framework.

What can developers build with CodecFlow’s Operator Kit, or optr?

The project describes Operator Kit, also called optr, as a lightweight toolkit for building agents that operate on desktops, browsers, simulations, and robots. Its utilities cover actions, state, episodes, and safety, while its modular structure is intended to keep other components pluggable. These features support agent development across varied environments.

How does CodecFlow approach agent deployment across digital and physical environments?

CodecFlow states that its components work together as a framework for developing and deploying agents in diverse settings. Optr supplies reusable operational utilities, while the platform’s VLA approach supports visual understanding and action. The stated scope includes digital interfaces such as desktops and browsers, simulated environments, and physical robotic systems.

Codec Flow metric comparison

This comparison is a stored snapshot generated 2026-10-22 06:31 UTC from 290 daily observations available from 2025-12-30 through 2026-10-22. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.

MetricSnapshot30d before90d beforeChange vs 30dUniverse percentile
Price$0.00725845$0.00890604$0.00251262-18.5%n/a
Market cap$7.26M$8.91M$2.51M-18.5%P83.1
YearBull Rank#3,457#299#3,228Lower by 3,158P59.5
Bull Score39/10090/10027/100-51.0 ptsP32.5
Turnover3.27%6.76%9.25%-3.5 ptsP71.1
YB Market RiskLowMediumLowMedium → Lown/a
CycleEarlyEarlyEarlyUnchangedn/a

Median absolute daily movement 7.04%; distance from the highest local daily price -43.7%; circulating supply change +33.3%. These measurements are descriptive and do not predict future direction.

Editorial research. Identity, project facts, sources, and risks below belong to the dated editorial review. The live analytical snapshot above may be newer and is generated separately from stored market data.

Codec Flow (CODEC): project purpose, mechanism and token context

The reviewed primary-source record presents the documented purpose, mechanism and token context for Codec Flow. It separates confirmed source material from information that requires current independent verification, including market data, supply figures, contract state and operational availability.

Codec Flow is described in the reviewed source record as follows: CodecFlow's official site describes an open-source robotics and automation platform, with SimArena live, Fabric as a serverless compute layer, and OPTR as a runtime for robot intelligence. This establishes the documented project purpose, but it is not a statement about price, adoption, reserves or future performance.

The documented operating model adds this context: The official FAQ describes CodecFlow as an execution layer for AI agents operating robots, desktops, simulations and digital environments; it says Operators combine perception, reasoning and action. Readers should separate that stated mechanism from any interface, contract or market condition visible today. Product rules and integrations can change.

The evidence set also records: The official FAQ says creators may earn through publishing Operators, contributing datasets or tools, and ecosystem programs, with usage-fee shares routed to creators when an Operator is deployed. This helps explain the role of Codec Flow within its network or product, while leaving any unsupported reward, liquidity or performance claim unresolved.

Identity is important because similar names, wrapped assets and historical deployments can coexist. The reviewed record states: Pump.fun identifies CODEC as Codec Flow on Solana and shows the mint 69LjZUUzxj3Cb3Fxeo1X4QpYEQTboApkhXTysPpbpump; its description says the project concerns on-demand cloud desktops for AI agents powered by MCP and TEE. Before interacting with Codec Flow, verify the active chain, contract and official interface rather than relying on a ticker alone.

For token role and disclosed design, the source material says: A third-party on-chain analysis page reports revoked mint and freeze authorities, immutable metadata, no Token-2022 extensions, moderate top-10 concentration, and liquidity not locked; it also states that an SPL mint has no program source for line-by-line review. Where supply, allocation, emissions, vesting or burn details are absent, this profile leaves them unresolved and does not infer a current figure.

The cited record further notes: The reviewed official site documents CodecFlow products and vision but does not establish that CODEC is required for access, governance, fee payment or creator rewards. This is useful technical background, but it does not replace operational due diligence. Permissions, counterparties, oracles, bridges and withdrawal conditions can affect real use.

One additional evidence-bound observation is: CodecFlow's official site describes an open-source robotics and automation platform, with SimArena live, Fabric as a serverless compute layer, and OPTR as a runtime for robot intelligence. The editorial conclusion is limited to the cited record and deliberately avoids price targets, return projections and claims that a mechanism will deliver a particular outcome.

When assessing current status, the key question is what has been independently confirmed at the time of use. The dossier supports this point: The official FAQ describes CodecFlow as an execution layer for AI agents operating robots, desktops, simulations and digital environments; it says Operators combine perception, reasoning and action. Later official records take precedence if contracts, terms or deployments change.

The project documentation provides a basis for describing intended scope, not for filling every data gap. The reviewed material says: The official FAQ says creators may earn through publishing Operators, contributing datasets or tools, and ecosystem programs, with usage-fee shares routed to creators when an Operator is deployed. Current market metrics and operational availability require separate, dated verification.

Finally, the evidence record notes: Pump.fun identifies CODEC as Codec Flow on Solana and shows the mint 69LjZUUzxj3Cb3Fxeo1X4QpYEQTboApkhXTysPpbpump; its description says the project concerns on-demand cloud desktops for AI agents powered by MCP and TEE. The practical takeaway is to verify identity, chain, contract details and current risk disclosures before acting. This is especially important where custody, lending, bridges or external dependencies are involved.

YearBull Rank overview

Latest available YearBull Rank for codec-flow: #3042.

Rank timeline (last 365 days)

Rank change (nearest points).

Reading rule: rank #120 sits higher than rank #200.

  • 7d window (2026-10-21): #2897 → #3042 (down by 145).
  • 30d window (2026-09-28): #317 → #3042 (down by 2725).

YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. A smaller rank number indicates a stronger position at that moment. It is best read as relative context across time windows, not as a guarantee.

Flow context: If the line improves during quiet periods, it can be accumulation. bursty volume can create temporary re-ordering.

Where it trades: If the line is step-like, watch for discrete market changes. changes can follow how the coin is routed across markets.

Cycle context: If the 30d is noisy, increase the lookback to avoid over-reading. cycle shifts often show up as slope changes, not spikes.

Risk note: If it is flat for long, the coin may be tracking the cohort. range behavior tells more than a single point.

Editorial note: This analysis was prepared by the YearBull research team under the direction of Alan Zelvin, Founder and Lead Crypto Researcher. The assessment follows YearBull’s internal research methodology and editorial standards. Methodology · Editorial Policy
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Codec Flow (CODEC) Markets

Stored venue snapshot. Markets last checked: 2026-10-13. Next refresh window: around 2027-01-11. Venue listings and volumes are stored snapshots, not live quotes.
Exchange Top Pair Stored 24h volume (snapshot) Trust Rank
XT.COM CODEC/USDT $125.63K #64
PumpSwap CODEC/WSOL $84.36K #196
Raydium CODEC/USDC $6.42K #1,346
Meteora CODEC/WSOL $4.11K #249
MachineX CODEC/WPEAQ $1.25K #471

Listings are ordered by reported snapshot volume. Trust Rank is an external venue-quality indicator; it is not an endorsement or a solvency guarantee.