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API Direct – Twitter Tweet Comments
x402
API Direct – Twitter Tweet Comments is a paid API for AI agents from x402.apidirect.io, paid per call via x402, $0.007/call, status unknown (last checked 2026-10-30).
Fetches the reply comments on a specific tweet by its numeric tweet ID, with optional AI sentiment analysis per comment.
Price / call$0.007
Success—
StatusUnknown
How this service works
Get the comments (replies) on a specific tweet.
Output
Returns a merged list of reply comments across the requested number of pages. Each comment includes author details, reply text, engagement metrics, and — if get_sentiment is true — a sentiment object with joy, trust, fear, surprise, sadness, disgust, anger, and anticipation scores (0–100), a dominant_emotion label, emotional_intensity (0–10), and a polarity classification (positive, negative, or neutral). Pagination stops early if no more results exist.
Example use cases
Brand monitoring tweet reaction
“Fetch the replies on tweet 1892345678901234567 — I want to see what people are saying in response to our product announcement, and include sentiment analysis so I can gauge the emotional tone.”
Research public opinion on viral tweet
“Get me up to 5 pages of comments from tweet ID 1765432198765432100 so I can analyze the public discussion and see what arguments are being made.”
Customer feedback triage on support tweet
“Pull the replies to tweet 1801234567890123456 and turn on the sentiment analysis — I need to identify angry or frustrated customers who responded to our support post.”
Technical details
Endpoint
GEThttps://x402.apidirect.io/v1/twitter/tweet/comments?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to retrieve the reply thread on a known tweet and optionally enrich each comment with multi-dimensional emotional sentiment data. It is ideal for brand monitoring, opinion research, or customer feedback triage. Prefer it over generic scraping tools when you need structured output with built-in pagination and AI emotion scoring without setting up your own Twitter API integration.
Side effects
- Invalid tweet_id format (non-numeric) returns a validation error
- Tweet is deleted, private, or inaccessible returns empty or error response
- pages value out of range (less than 1 or greater than 20) triggers schema validation failure
- Rate limiting or Twitter API upstream errors may return 5xx responses
- Tweet with zero replies returns an empty comments array
- Each page is billed separately so large page counts increase cost
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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