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Questflow Twitter Automation Swarm
x402
Questflow Twitter Automation Swarm is a paid API for AI agents from api.questflow.ai, paid per call via x402, $0.5/call, status unknown (last checked 2026-09-15).
Automates Twitter management by posting daily project updates, monitoring and retweeting AI agent-related content, and responding to mentions on a scheduled basis
Price / call$0.5
Success—
StatusUnknown
How this service works
Automated Twitter management system that handles daily project posts, monitors AI agent-related content for retweeting, and manages mentions requiring responses. Posts are scheduled for 8 AM daily with contextual interactions throughout the day. | Powered by Questflow
Output
Confirmation of the scheduled Twitter automation swarm activation, including details on the daily posting schedule (8 AM), content monitoring rules for AI agent-related retweets, and mention response handling status.
Example use cases
Hands-free Twitter presence for project
“I want to completely automate my AI startup's Twitter account — post a daily project update every morning, keep an eye out for AI agent content worth retweeting, and make sure any mentions we get are responded to without me having to babysit it.”
Schedule daily AI project announcements
“Can you set up a system that posts a tweet about my AI project every day at 8 AM, automatically retweets interesting AI agent news as it comes up, and handles replies to our mentions so our account stays active and engaged?”
Auto-engage AI community on Twitter
“I'm building an AI agent tool and I need my Twitter account to run on autopilot — morning posts about what we're working on, retweeting relevant stuff from the AI agent community throughout the day, and responding to anyone who mentions us.”
Technical details
Endpoint
POSThttps://api.questflow.ai/x402/swarm/qrn:swarm:687e405c57b6ecbe0042591eWhen to prefer
Choose this endpoint when you need fully automated, multi-function Twitter management for a project — combining scheduled posting, content monitoring, retweeting, and mention response in one swarm. Prefer this over single-purpose tweet schedulers when you want a hands-off, ongoing Twitter presence with contextual AI-agent content amplification.
Side effects
- Twitter API authentication failure preventing posts or reads
- Scheduling conflict or queue failure causing missed 8 AM posts
- No AI agent-related content found to retweet on a given day
- Mention detection failure leaving responses unhandled
- Payment failure (insufficient USDC balance) blocking swarm execution
- Rate limiting by Twitter API causing partial execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | string | Your message to the agent |
Output
Schema · Response
{
"response": {
"type": "string",
"required": true,
"description": "Response from the agent"
}
}Tags
x402
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