Dataline Channel
前往频道在 Telegram
Dataline (Prev. Tearline) — the crypto data layer for AI agents. Natural-language in, source-attributed responses out. Cross-chain in one schema. Web: https://www.dataline.xyz/ Chat Group: https://t.me/datalinexyz Business: @DatalineAI
显示更多未指定国家加密货币171
📈 Telegram 频道 Dataline Channel 的分析概览
频道 Dataline Channel (@dataline_news) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 766 950 名订阅者，在 加密货币 类别中位列第 171。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 766 950 名订阅者。
根据 16 九月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -38 565，过去 24 小时变化为 -1 324，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 0.34%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 0 次浏览，首日通常累积 0 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Dataline (Prev. Tearline) — the crypto data layer for AI agents. Natural-language in, source-attributed responses out. Cross-chain in one schema.
Web: https://www.dataline.xyz/
Chat Group: https://t.me/datalinexyz
Business: @DatalineAI”
凭借高频更新（最新数据采集于 17 九月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 加密货币 类别中的关键影响点。
766 950
订阅者
-1 32424 小时
-8 5697 天
-38 56530 天
数据加载中...
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频道帖子
Repost from N/a
Dataline x Base
Agents need data they can trust, not just fetch.
Now Base Builders get free access to Dataline's AI native Intelligence Layer: onchain intelligence with AI assisted confidence scores, built for autonomous agents.
Stop stitching APIs. Start shipping agents.
| 2 |  We are welcoming @ClusterProtocol to the Dataline Launch Partner cohort.
Cluster is the orchestration layer for autonomous AI on Base: serverless inference across 500+ models, GPU compute, and a tokenized data marketplace under one API, with private, verifiable inference. CodeXero, its browser-native IDE, ships dApps and agents from a single prompt.
CodeXero scaffolds the dApp from a prompt. Cluster runs the agents inside it on private, verifiable compute. Dataline is the live cross-venue read those agents call before they price, bid, or settle. | 2 453 |
| 3 |  Watch what our Market Data skill can do.
This 36-second demo walks through installing the Market Data skill in any Claude or Cursor session, asking the agent about Strait of Hormuz prediction markets on Polymarket, and getting back a structured analysis that combines odds, on-chain volume, and broader market context.
One skill. Spot, perp, prediction markets in one call.
Get yours today at:
https://www.dataline.xyz/mcp | 2 955 |
| 4 |  We are welcoming @NebulaiHQ to the Dataline Launch Partner cohort.
Nebulai is OpenCompute infrastructure for AI. An open network where anyone can contribute GPU compute in one click, and any team building AI can rent it on demand.
Nebulai brings the compute. Dataline brings the read. Any AI agent training or running inference on Nebulai that touches crypto reaches for Dataline for cross-venue prices, perp funding, and prediction market signal. | 3 202 |
| 5 |  We are welcoming @primus_labs to the Dataline Launch Partner cohort.
Primus is the trust and privacy layer for the agent economy. zkTLS proves Web2 data is real onchain. zkFHE lets agents compute over encrypted inputs. Together, they make the world's data useful onchain.
Agents need two things before they act: fresh data, and proof it's real. Dataline ships the read, live cross-venue prices, perp funding, prediction signal. Primus ships the proof, cryptographic attestation that the data wasn't tampered with. | 3 107 |
| 6 |  We are welcoming @SaharaAI to the Dataline Launch Partner cohort.
@HeySorinAI, their autonomous trading agent, runs in live markets. That requires real-time market data: spot, perp funding, prediction markets, available in one structured call. That is what Dataline provides. | 3 535 |
| 7 |  We are welcoming @FractionAI_xyz to the Dataline Launch Partner cohort.
Fraction AI allows anyone to create agents that move onchain assets across crypto. From yield to trading, agents route capital to the best opportunity available right now.
Cross-protocol allocation needs cross-venue grounding. Dataline ships that read: live stablecoin pricing, perp funding, prediction-market signal. One call before each rebalance. | 3 721 |
| 8 |  We are welcoming @SentientAGI to the Dataline Launch Partner cohort.
Sentient builds the OML stack (Open Monetizable Loyal models) and ROMA, a multi-agent orchestrator with Atomizer, Planner, Executor, Aggregator, and Verifier roles working in a loop.
When ROMA's Executor needs crypto data to act on, Dataline is the call. Spot, perp funding, prediction markets in one structured response, ready for the next loop iteration.
Read more: https://sentient.foundation | 3 900 |
| 9 | this logo doc hasn't updated the dataline font. did you update only the central server side?
http://100.77.177.14:3000/client/reports/dataline-xyz-logo-gallery?from=library | 1 |
| 10 |  We are welcoming @GoKiteAI to the Dataline Launch Partner cohort.
Kite Chain settles agent transactions in sub-second finality. The pipeline reads market state, makes a decision, settles the trade, all in the time other chains spend confirming a block.
Dataline is the data layer those agents call before they settle. Spot, perp funding, prediction markets, in one structured response. | 3 363 |
| 11 |  We are welcoming @b3dotfun to the Dataline Launch Partner cohort.
B3OS is the execution plane for crypto AI agents. Workflows, nodes, and connectors that run set-and-forget, built by the team that came from Coinbase Base.
Dataline is the data layer those agents query before they execute. Spot, perp funding, prediction markets, ready in a single structured call.
Read more:
https://x.com/b3dotfun/status/2062587654152282241 | 3 702 |
| 12 |  We're opening launch-partner slots ahead of public launch.**
Two partner types:
1️⃣Power Data Users. Agents that need structured crypto + on-chain data (trading, betting, research).
2️⃣Power Data Providers. DEXs, prediction markets, indexers, news / social feeds.
What the layer covers right now: Hyperliquid, Binance, OKX, Coinbase, Polymarket, Kalshi today; Bybit, dYdX, Pyth in integration. One natural-language request → one structured response with a 0-to-1 confidence score.
Production scale already: 19.4M+ on-chain tx, 96.4% execution success rate. BNB Chain · Sui · TON. ChatPilot, GhostDriver, FlowAgent running on top.
What launch partners get: co-publish week (joint blog + X thread + newsletter to 334K), direct eng support during integration, logo on dataline.xyz at launch, permanent registry listing.
Ask: apply via the partner signup form. API key, feed access, or source-attribution agreement after that.
Slots are limited. Sign up: gtm.dataline.xyz/partner-signup | 3 313 |
| 13 |  Building a prediction-market agent? Polymarket went dark in India last week. Indian ISPs cut access after a government betting-platform directive, and Kalshi could be next. If your agent only reads Polymarket's API, it has no graceful fallback today.
Dataline returns one response across both venues with source IDs, freshness per source, and divergence_flag inline. When a venue disappears or a competitor takes share, the schema absorbs the change two layers down. Whether Polymarket comes back online or Kalshi extends its lead, the agent code stays.
More details on using one schema for both markets
https://www.dataline.xyz/blog/aggregate-prediction-market-data | 3 538 |
| 14 |  Happy bitcoin pizza day! 🤗
Eating pizza tonight. Paying in dollars. The BTC stays in cold storage where it belongs. | 3 529 |
| 15 |  When should your trading agent call Polymarket's native API instead of Dataline?
When you need every CLOB tick, you're running market-making, or you have the engineering bench to maintain a GraphQL client through every schema change. That's a quant-firm workflow. The native API returns raw GraphQL with nested condition arrays, prices, and volume snapshots. That works when your own code does the math. It breaks down when your model has to read the response and explain it.
Use Dataline if your agent has to cite its answers. Every response ships with source_id, freshness_seconds, and divergence_flag inline, so your model spends ~250 tokens where the raw GraphQL payload would burn ~1,800. Coverage spans Polymarket, Hyperliquid, EVM, Solana, and Sui on one schema, with cross-source divergence flagged the moment Polymarket disagrees with on-chain options pricing. Full trade-offs, latency numbers, and code samples: dataline.xyz/blog/polymarket-api-for-ai-agents. | 4 213 |
| 16 |  What our mark shows you. 5 roots at the bottom = data sources. Crossing branches up through one trunk = one Dataline call. 18 leaves at the top = the agent decisions you unlock. The 2 red leaves = divergence flags when sources disagree.
The mark is the product. Every call queries six (or six hundred) crypto markets in one shot and returns one structured response your autonomous agent can act on. The tree IS the data lifeline.
Markets usually agree. Dataline ships that agreement as a single signal — perps, on-chain state, probability, metadata aligned, with one confidence score. Your agent acts on it immediately instead of stitching together four feeds and reconciling shapes. When markets diverge (price splits, oracle drift, hedged positions), Dataline returns the divergence inline with source IDs and freshness flags.
One contract per market. Your agent stops writing per-source adapters and trades on the data lifeline. Read more: dataline.xyz. | 3 977 |
| 17 |  Tearline is now Dataline. Same team, same product surface (ChatPilot, GhostDriver, FlowAgent). The new name calls out the job: the data lifeline an autonomous agent runs on.
Tearline started as the chat surface. The thing the team actually built underneath was a data layer that shapes crypto markets into responses an agent can parse, cite, and act on. Dataline names the layer customers pay for. Production scale, already live: 19.4M+ on-chain transactions processed, 96.4% execution success rate, coverage across BNB Chain / Sui / TON, 2.5M+ agent interactions through ChatPilot.
If your agent has to act on crypto data, this is the layer to wire into. Full breakdown: dataline.xyz/blog/tearline-to-dataline.
Stay tuned for more exciting news to come! | 5 297 |
| 18 |  What is Clawbot?
Plan → Execute → Observe → Iterate.
After two years of building, Tearline now supports the full loop.
Tearline = Web3 Clawbot. | 4 442 |
| 19 |  +1We were honored to take part in AdoptAI in Paris, an event held under the High Patronage of President Emmanuel Macron — where the next era of AI was mapped out. 🇫🇷✨
Our biggest takeaway?
We’re entering a world where AI Agents don’t just think; they trade.
Data becomes currency. Every byte has a price. Every action triggers a micro-payment. ⚡️
And only crypto can power this new machine economy: permissionless, programmable, ultra-fast value flows at planetary scale. 🌍💸
The shift from a human-driven economy to an AI-driven one has already begun.
And Tearline is building the rails for it. 🚀 | 4 798 |
| 20 | 🚀 Some good news worth revisiting — featured on Yahoo Finance! 🗞
A while back, Tearline officially joined the Google for Startups Cloud Program — a major milestone in our Full-Chain AI journey. 💡
Through this partnership, we’re leveraging Google Cloud’s AI-optimized infrastructure, training resources, and $200K in cloud credits to accelerate innovation and redefine what’s possible for AI-native Web3 systems.
Since then, we’ve been putting these resources to work — scaling our agent ecosystem, expanding use cases, and powering new layers of AI automation across Web3.
Read the full coverage on Yahoo Finance 👇
http://bit.ly/4h6NcnE | 4 797 |
