Best Social Listening APIs for AI Agents in 2026

Most comparisons of social listening data sources start with pricing and audience size, as if the three platforms answer the same question in different accents. They don't. Reddit and Twitter/X let you search by keyword and narrow to the last hour. TikTok's comment data doesn't search at all — you need a video URL or a profile before you can pull anything. That's not a pricing difference. It's a difference in what each source can actually do for you.

If you're an agent (or building one) reading this rather than a human, the full machine-readable schema for every endpoint below lives at mindcase.co/skills.md.

What should you actually check before picking a social listening data source?

Four things, and the first one eliminates options before pricing even enters the conversation:

• Whether it can discover a mention you don't already know about. A keyword search finds new posts. A URL- or profile-only input only reads what you already found some other way.
• Whether it supports a real time window. "Real-time" monitoring needs an hour-level cutoff, not just a sort order.
• What counts as the native relevance signal. Upvotes, views, and likes aren't interchangeable, and none of them convert cleanly into the others.
• The pricing shape per row, since the three aren't close — a hundred results from one source can cost twenty times what the same count costs from another.

Which of these can actually discover a new mention by keyword?

Reddit Posts and Twitter/X Tweets both do. Reddit takes a keyword parameter directly, standalone or layered on top of a specific subreddit URL. Twitter/X takes a query parameter that accepts a plain keyword or a full search-operator string — the same syntax you'd type into Twitter's own advanced search.

TikTok Comments doesn't. It takes postURLs or profiles — a specific video you already have the link to, or an account whose videos you already know. There's no keyword or hashtag mode. If a mention of your brand shows up as a comment under someone else's video you haven't seen yet, this endpoint has no way to find it. That's a meaningfully different job than TikTok Posts, which does support hashtag and keyword search — worth not confusing the two when picking an endpoint, since "TikTok data" isn't one thing here either.

How do you pull a real-time sample from Reddit and Twitter/X?

Both support narrowing to a tight window, which is what turns a listening pass from "what's been said this month" into "what just happened":

curl -X POST "https://api.mindcase.co/v1/data/reddit/posts/run?wait=true" \
-H "Authorization: Bearer $MINDCASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "params": {
    "keyword": "acme skincare",
    "sortBy": "new",
    "timeRange": "hour",
    "maxResults": 50
  }
}'

# $0.005 per post returned

curl -X POST "https://api.mindcase.co/v1/data/twitter/tweets/run?wait=true" \
-H "Authorization: Bearer $MINDCASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "params": {
    "query": "acme skincare since:2026-11-02_00:00:00_UTC",
    "maxResults": 100
  }
}'

# $0.00025 per tweet returned

Reddit's timeRange only applies when sortBy is "top" — for "new", as used above, Reddit already returns newest-first, so the two parameters together give you the newest posts within the last hour rather than the highest-scoring ones. Twitter/X has no dedicated time parameter, so the since: operator inside query does the same job. For the full hour-level monitoring workflow across both, see Mindcase for real-time brand monitoring.

Why can't TikTok comments do the same thing?

Because the endpoint isn't built to discover — it's built to read. TikTok Comments returns comment text, likes, reply counts, and the commenter's handle for a video or profile you already point it at:

curl -X POST "https://api.mindcase.co/v1/data/tiktok/comments/run?wait=true" \
-H "Authorization: Bearer $MINDCASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "params": {
    "postURLs": "https://www.tiktok.com/@acmeskincare/video/7345678901234567890",
    "commentsPerPost": 100
  }
}'

# $0.0005 per comment returned

There's no timeRange or sortBy parameter either — you get what TikTok returns for that video, not a window you control. That makes TikTok comment data a good fit for one specific job: reading reaction on a video you already know is relevant, usually your own brand's post or a creator review you were tagged in. It's a poor fit for discovering that a video exists in the first place. For the full comment-monitoring setup, see automate TikTok comment collection for sentiment analysis and, for tracking a subreddit or keyword over time, how to track Reddit sentiment on your brand or product.

What does each platform give you as its own relevance signal?

None of the three share a scoring metric, so ranking a merged list by one shared number doesn't work:

• Reddit — upvotes and upvoteRatio. A post with 40 upvotes and a 0.9 ratio in a niche subreddit is a stronger signal than a higher raw count with a lower ratio, since the ratio filters out posts that are merely controversial.
• Twitter/X — views for reach, replies and quotes for whether people are actually engaging with the claim rather than scrolling past it. bookmarks is a quieter but real signal too — someone saving a post to revisit later.
• TikTok comments — likes and replies per comment, plus likedByCreator and pinnedByCreator — both flags meaning the video's own creator noticed that specific comment, which is a stronger signal than the comment's raw like count alone.

What can't you get from Mindcase?

Two cases.

A keyword search on TikTok comments. Covered above, but worth repeating in the limitations section since it's the constraint most likely to trip up a workflow built assuming all three sources work the same way: you need the video or profile first.

Private or login-gated content on any of the three. A locked subreddit, a protected Twitter/X account, a private TikTok profile — none of that is reachable without an authenticated session, and none of these endpoints have one. That's a public-data boundary common to all three, not specific to one.

Which endpoint should you use for which job?

What that costs in practice: 50 Reddit posts, 100 tweets, and 100 TikTok comments comes to $0.25 + $0.025 + $0.05, or $0.325 for one pass across all three. Twitter/X's per-row cost is low enough that pulling a wider net there costs less than a narrow Reddit search, which is why a volume-first monitoring setup usually leans on Twitter/X for breadth and Reddit for depth on the threads that matter.

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