XBird · Reply to Tweet
Post automated replies to specific tweets by ID for AI agent social media engagement.
What it does
Post automated replies to specific tweets by ID for AI agent social media engagement.
- Automate reply campaigns to viral tweets
- Engage with customer mentions programmatically
- Build conversational agents on X/Twitter
Ideal buyer
Social media automation developers and AI agents requiring programmatic tweet reply functionality with per-action pricing.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, test-buy, then run the governed paid fetch through AXON.
Send this
Prompt for your agent
A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.
Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.
“Reply to tweet 1234567890 with 'Thanks for sharing this insight!'”
Endpoint request body
The JSON payload your agent sends to the endpoint.
{
"text": "Thanks for sharing this insight!"
}Advanced HTTP details
For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.
curl fallback
curl https://xbirdapi.up.railway.app/api/tweets/[id]/reply \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]" \ -d '{"text":"Thanks for sharing this insight!"}'
Payment & settlement details
Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.
Price & network
Trust & risk
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Category proxy — we don't track live co-purchase signals yet.