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Condenses AI

Condenses AI (Bittensor Subnet 47) — a reference card for a crypto project: what the product does and how verifiable the project’s key claims are; also — alignment with the Decentralized AI thesis (DecAI Fit).

Condenses AI — an AI/Inference | Infra project on the Bittensor network (subnet 47), token (symbol: SN47).

Disclaimer

Important: this page is a reference overview of the project. Within DecAIHub, we separately record a verification based on open sources within the AI thesis (what is real AI/onchain/why a token, and which sources this is based on).
This is not financial advice and not a recommendation to buy/sell/hold any asset. We do not assess price, returns, or entry/exit timing.
Conclusions are based on publicly available materials found as of the verification date. The absence of confirmation does not imply the absence of the technology.

TL;DR (for readers who are not into AI)

  • What it is: a service/subnet that “compresses” long text sequences for LLM tasks (compress long sequences into soft tokens).
  • Who it’s for: developers and teams that use LLMs and want to reduce the size of prompts/context.
  • Why onchain/token: Tier‑1 claims that this is Bittensor Subnet 47; a Tier‑1 justification of the necessity of a separate token for the operation of the protocol is not established.
  • What you can actually touch (Tier‑1): the playground and dashboard on the official website.

How it works (very briefly)

  1. The user does: sends long text/messages to the “compress” API or uses the playground.
  2. The system does: transforms the long context into “soft tokens” (as claimed in the project documentation).
  3. The user gets: a shorter representation of the context for further LLM inference.
  4. Where the blockchain is: the project claims to operate as Subnet 47 on the Bittensor network; the state/metrics of the subnet are observable via the ecosystem explorers.
  5. Token role (if any): no description of a mandatory protocol role of a separate token was found in the Tier‑1 documentation.

Quick links: AI thesis fit

Project passport

Field Value
Project name Condenses AI
Also known as (aliases) condenses.ai, Subnet 47, For Sale, SN47
Logo (logo) ../assets/666_for-sale_logo.png
Token symbol (ticker) SN47
Category AI/Inference | Infra
Primary chain (chain) Bittensor
Type Appchain
Network status mainnet
Consensus (consensus) —
Launch date (launch_date) —
Project status (status) active
Token (standard) —
Token contract Subnet 47
Token model (token_type) —
Max supply —
Issuance —
Tokenomics (tokenomics, brief) Tier‑1 describes the product (token compression); token supply parameters are not established per Tier‑1.
Governance —
Admins/keys —
Audit —
Bug bounty —
Team (team) —
Funding (investors/funding) —
AI component (ai_component) token compression for LLM prompts
Use‑case (use_case) LLM context reduction
DecAI Fit — AI thesis fit 3/6 — medium alignment with the Decentralized AI thesis
DecAI Fit component summary ai_score 3 / onchain_score 1 / token_score 0 / evidence_score 1
Last verified 2026-02-11

General project overview

Condenses AI describes itself as Bittensor Subnet 47, whose goal is to speed up/reduce the cost of using LLMs through “condensing tokens”: compressing long text sequences into a more compact representation (“soft tokens”). The website has a dashboard and a playground, and the documentation contains “getting started” steps and a mention of API endpoints for compressing text/messages.

Features/modules

  • API compression endpoints (claimed): /compress/text and /compress/messages (described in the documentation).
  • Playground: a web interface for examples of how “condensing” works.
  • Dashboard / API keys: a web interface for obtaining keys and monitoring usage.

Typical scenarios

  • Scenario 1: a developer obtains an API key → sends a long prompt for compression → uses the compressed representation in their LLM pipeline.
  • Scenario 2: a user tests the examples in the playground → compares the original and the “condensed” context (per the website interface).

Getting started (wallet/network)

  • What you need: an account on the website and an API key (per the project documentation).
  • Network/chain: Bittensor (subnet).
  • Fees: not established per Tier‑1.

Architecture/tech (non‑AI)

  • Components: a service/API + web UI (dashboard/playground); participation as Subnet 47 on the Bittensor network.
  • Participant roles: API users, subnet operators/participants (details are not established per Tier‑1).
  • Where logic runs: text processing — offchain computation; the onchain layer — accounting/existence of the subnet on Bittensor.
  • Dependencies: Bittensor infrastructure, the project’s web stack.

Token/economics (expanded, no forecasts)

  • Token utility: not established per Tier‑1.
  • Protocol necessity drivers: a Tier‑1 justification of “why a separate token is mandatory” is not established.
  • Issuance/distribution: not established per Tier‑1.

Governance

  • Who makes decisions: —.
  • How protocol parameters change: —.

Security and incidents

  • Audits: —.
  • Bug bounty: —.
  • Incidents: —.

Project status and timeline

  • Current status: the web product is available (dashboard/playground); Subnet 47 is observable in the ecosystem explorers.
  • Roadmap: not established per Tier‑1.

Ecosystem/integrations

  • Integrations: Bittensor (subnet), web dashboard/playground, GitHub (code), X (see links_*).
  • Partners: —.
  • Where it’s actually used: as an API/UI tool for context compression (per the description in the documentation and the presence of the playground).

AI component of the project

  • What is real AI here? The project claims its AI component as optimization of LLM inference via context compression (soft tokens) and provides an API/UI.
  • What is truly onchain? Participation as Bittensor Subnet 47 (claimed in the documentation and observable via the explorer).
  • Why is a token needed? A Tier‑1 description of the necessity of a separate token (in terms of payments/incentives/governance) is not established.
  • Red flags (based on the information found): token‑washing (if the role of the token is not confirmed by Tier‑1); the economic model and “why a token” need to be clarified.

DecAI Fit component summary

  • DecAI Fit: 3/6 — medium alignment with the Decentralized AI thesis
Component Level Score
AI reality high 3
Onchain necessity low 1
Token necessity low 0
Evidence Tier‑1 partial 1
Details

AI reality

AI_0 — AI intent (Tier‑1 roadmap) (1/0)

  • AI_0 (decision): 0
  • Claim (one line): Tier‑1 sources describe a working product (API/UI), not only intent/roadmap.
  • Evidence: Tier‑1 — https://docs.condenses.ai ; https://www.condenses.ai/
  • Why sufficient / why not (one line): AI_0 applies when there is only intent; here there are product artifacts.
  • Conflict note (if any): —

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): The subnet/service “compresses long sequences of natural language tokens into soft tokens” to speed up/reduce the cost of LLM inference.
  • Evidence: Tier‑1 — https://www.condenses.ai/ ; https://docs.condenses.ai
  • Why sufficient / why not (one line): Tier‑1 describes a specific function of the product and the claimed mechanics.
  • Conflict note (if any): —

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 1
  • Claim (one line): A playground is available on the Tier‑1 website, where “condensing” can be tested on examples.
  • Evidence: Tier‑1 — https://www.condenses.ai/
  • Why sufficient / why not (one line): A public playground/interface meets the demos/examples criterion.
  • Conflict note (if any): —

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —
  • Context (version/date/how measured): —
  • Evidence: Tier‑1 — https://www.condenses.ai/ ; https://docs.condenses.ai
  • Why sufficient / why not (one line): No Tier‑1 reproducible benchmark/quality metrics (context, version, methodology) were found.
  • Conflict note (if any): —

AI_4 — tech description/architecture/versions (1/0)

  • AI_4 (decision): 1
  • Claim (one line): The Tier‑1 documentation describes “getting started” and API endpoints for compressing text/messages.
  • Evidence: Tier‑1 — https://docs.condenses.ai
  • Why sufficient / why not (one line): This is a tech description of the product’s interface/integration (API), sufficient for AI_4=1.
  • Conflict note (if any): —

Onchain necessity

OC_1 — contracts/addresses/chain (1/0)

  • OC_1 (decision): 1
  • Chain: Bittensor
  • Addresses/identifiers: Subnet 47
  • Evidence: Tier‑1 — https://docs.condenses.ai ; https://taostats.io/subnets/47/chart
  • Why sufficient / why not (one line): The Tier‑1 documentation directly states that this is Subnet 47; the explorer provides observability of the subnet.
  • Conflict note (if any): —

OC_2 — onchain beyond just a token (1/0)

  • OC_2 (decision): 0
  • What useful logic is onchain: Not established per Tier‑1 (other than the fact of participation as a subnet).
  • Evidence: Tier‑1 — https://docs.condenses.ai
  • Why sufficient / why not (one line): OC_2 requires specific onchain logic (rules/access/accounting), not only the identity of the subnet.
  • Conflict note (if any): —

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 0
  • “Replace the blockchain” test: not established per Tier‑1.
  • Evidence: Tier‑1 — https://docs.condenses.ai
  • Why sufficient / why not (one line): There is no Tier‑1 justification that a key property of the product breaks down without the blockchain.
  • Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): In ecosystem aggregators the project is presented as “For Sale / SN47”; Tier‑1 confirmation of the token parameters is not established.
  • Evidence: Tier‑2 — https://coinmarketcap.com/currencies/for-sale/
  • Why sufficient / why not (one line): Within the pipeline we record the context (Tier‑2), but the passport parameters of the token are not established per Tier‑1.
  • Conflict note (if any): —

TK_1..TK_4 (1/0)

TK_1 — payment for the service (1/0)

  • TK_1 (decision): 0
  • Claim (one line): Tier‑1 confirmation of payment with the token for the API/service is not established.
  • Evidence: Tier‑1 — https://docs.condenses.ai
  • Why sufficient / why not (one line): TK_1 requires an explicit mechanism of payment with the token.
  • Conflict note (if any): —

TK_2 — incentives/collateral/penalties (1/0)

  • TK_2 (decision): 0
  • Claim (one line): Mechanics of incentives/collateral/penalties via the token are not established per Tier‑1.
  • Evidence: Tier‑1 — https://docs.condenses.ai
  • Why sufficient / why not (one line): There is no description of protocol economic mechanics.
  • Conflict note (if any): —

TK_3 — governance (1/0)

  • TK_3 (decision): 0
  • Claim (one line): A governance role of the token is not established per Tier‑1.
  • Evidence: Tier‑1 — https://docs.condenses.ai
  • Why sufficient / why not (one line): TK_3 requires described governance mechanics.
  • Conflict note (if any): —

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 0
  • Claim (one line): The replaceability of the token is not established per Tier‑1.
  • Evidence: Tier‑1 — https://docs.condenses.ai
  • Why sufficient / why not (one line): An analysis of the token’s functions and alternatives is required.
  • Conflict note (if any): —

Evidence (table)

Tier Source What it proves
Tier‑1 https://www.condenses.ai/ Official website: description of Subnet 47, “compress tokens into soft tokens”, presence of a dashboard/playground.
Tier‑1 https://docs.condenses.ai Documentation: Subnet 47 + getting started and API endpoints for compression.
Tier‑1 https://github.com/condenses/neural-condense-subnet Codebase (repository) of the project/subnet.
Tier‑1 https://taostats.io/subnets/47/chart Observability of Subnet 47 in the Bittensor ecosystem (onchain context).
Tier‑1 — No Tier‑1 source for claim “why the SN47 token is mandatory in the protocol (necessity of the token)” was found.
Tier‑2 https://coinmarketcap.com/currencies/for-sale/ Reference token profile (metadata; not proof of protocol utility).
Tier‑2 https://www.coingecko.com/en/coins/for-sale Reference token profile (metadata; not proof of protocol utility).