Fetch.ai engagement report
@Fetch_ai - 264K followers on X
Measured over 52 original posts from a 30-day window, last computed on September 24, 2026.
Engagement
A typical post picks up 312 interactions against 264K followers, an engagement rate of 0.119%. Measured over 52 original posts, its engagement rate beats 63% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 2.53% of those impressions turn into an interaction. That is about 4.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 52 posts sampled, 23% carry an image or video and 92% link out. The account's strongest tracked post pulled 680 interactions, about 2.2x its own typical post. Recurring topics include #agentic, #tv.
Measured over 52 original posts from a 30-day window, last computed on September 24, 2026. Recurring tags: #agentic, #tv.
Compared with accounts its own size
Fetch.ai's engagement rate beats 63% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 70% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.119%, Fetch.ai sits above the 25th percentile of the 205,582 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 90th percentile | 2.56% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 10:00 UTC, and Wednesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 23% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 92% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 23% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 92% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 405 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 18, 20262.2x their median
E-commerce today: “Here are five products.” Agentic commerce: “Here is the right option. Availability checked. Preferences applied. Next action ready.” We’d rather use the latter.
- Sep 22, 20261.8x their median
You don’t need Duolingo to learn a language. ASI:One can teach you more than months of language apps. Go to https://t.co/yWpWks8Ada and ask your Personal AI to create an episode around the language you’re learning. Then put your headphones in and keep learning on the go.
- Sep 20, 20261.8x their median
Following reports of an exploit on 19 September, here is where things stand. > https://t.co/jQHISjQ3dQ contracts are not affected. No https://t.co/jQHISjQ3dQ contract is under threat at this time, and FET continues to operate normally. > The attack is targeting SingularityNET contracts, primarily the SingularityNET Bridge between Ethereum and Cardano chains. The unauthorised mint was carried out through that same route. > AGIX to FET conversions are paused until further notice. Our bridge contract on the Ethereum side has also been paused as a precaution, with no indication of any vulnerability in it. Both will be restored in due course. The investigation is ongoing, and we've contained the exploit. We are working with the @SingularityNET team and will share updates as we have them.
- Aug 13, 20261.7x their median
🚨 Meet Athena - the deep work mode of ASI:One. Made for tasks that need more than a conversation or a simple answer. Ask Athena to research a market, analyse a company, build a financial model, create a presentation or produce a complete report. Then let it work through the project in its own execution environment. From prompt to expert, in-depth documentation. Watch 👇 Now live on ASI:One. Exclusively available to PRO users.
- Sep 20, 20261.6x their median
We're aware of reports of an exploit involving a https://t.co/CwbPmOj7TU token conversion contract. Our team is investigating and will share an update soon. Please rely only on official https://t.co/CwbPmOj7TU channels. We will never DM you or ask you to move your tokens.
- Aug 24, 20261.5x their median
Small businesses do not need an enterprise-sized automation department to start using AI. It’s easier to adapt AI than you think. That’s if you use https://t.co/HQ2Tj9lbnW. ASI:One will help your team: → Research → Organise projects → Coordinate calendars → Draft follow-ups and send them → Monitor and set recurring tasks → Connect specialised Agents to complete tasks fast Then, when you're fluent in it, you can claim your Brand Agent on https://t.co/kKkyZ124j8 and become visible to millions of users. AI works with your employees, not instead of them. Stop saying it the other way round.
- Aug 23, 2026
What happens when AI agents coordinate value - not just information? @Mettalex uses https://t.co/jQHISjPvoi uAgents to support direct peer-to-peer trading of commodity and tokenised assets. The flow: (1) A buyer and seller agree on the trade (2) Funds are locked in on-chain escrow (3) Agents verify both parties have met the terms (4) Agents sign the trade parameters (5) The escrow releases the assets The agents coordinate execution across wallets and supported blockchain networks. This is what autonomous economic infrastructure looks like. Full example in @Fetch_ai_IL Resource Library: https://t.co/q0S0O1mTBD
- Sep 21, 2026
Want your AI Agent to understand images? Build an Image Analysis Agent in 7 steps 👇 1. Create a hosted Agent on https://t.co/HvaFCrre9f Start with a new hosted Agent and add: 'https://t.co/qok2U1s6Sf image_analysis.py' 2. Add the Agent Chat Protocol Handle: ChatMessage ChatAcknowledgement TextContent ResourceContent This gives ASI:One a standard way to send the prompt + image attachment to your Agent. 3. Enable attachments When a session starts, advertise: {"attachments": "true"} Now ASI:One Chat knows your Agent accepts files. 4. Extract the image URL Read the HTTPS URL from ResourceContent and pass it into your image-analysis function. 5. Connect a multimodal model Send: text prompt + image URL → multimodal model → analysis 6. Publish the protocol + describe the capability Use: agent.include(chat_proto, publish_manifest=True) Then add a clear README explaining exactly what your Agent can analyse so it can be discovered correctly. 7. Test it through https://t.co/HQ2Tj9lbnW Start the Agent → open its profile → select Chat with Agent → attach an image → ask: 'Please analyse this image' Your flow is now: ASI:One → image attachment → Agent Chat Protocol → multimodal model → analysis → ASI:One Build it step-by-step → https://t.co/jX127wHVJU
- Aug 25, 2026
Your AI can use more tools now. Choose which ones to use, exactly when they’re needed. Open a chat or create a task, then: → Tap your connected apps → Open the tools inside each one → See what can 'Read' vs 'Write' → Turn on only what that workflow needs → Keep going without leaving the conversation Connected Services now sit right next to the ASI:One chat box: https://t.co/wrgayvdMTd
- Aug 22, 2026
You must’ve seen rogue AI Agent hacks happening recently. UK regulator says it is monitoring developments after those attacks to develop solid boundaries. It’s true. As Agents gain access to browsers, code environments, company systems and payment tools, security becomes critical. Our technology is built around identifiable Agents, defined communication protocols, decentralised infrastructure and user-controlled participation. They provide the foundations required to make autonomous systems more transparent, interoperable and accountable. Agents need freedom to act - but not freedom from accountability.
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 312 interactions against 264K followers, an engagement rate of 0.119%. Measured over 52 original posts, its engagement rate beats 63% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 2.53% of those impressions turn into an interaction. That is about 4.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 52 posts sampled, 23% carry an image or video and 92% link out. The account's strongest tracked post pulled 680 interactions, about 2.2x its own typical post. Recurring topics include #agentic, #tv.
- What is Fetch.ai's engagement rate on X?
- Fetch.ai (@Fetch_ai) has an engagement rate of 0.119%, based on the median interactions across 52 original posts from the last 30 days against 263,559 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.119%, Fetch.ai sits above the 25th percentile of the 205,582 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @Fetch_ai have real engagement?
- Its engagement rate beats 63% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @Fetch_ai post?
- Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 3.03 posts per day across the measured window.