Reddit discussion data for AI assistants

Reddit discussion data on Trends MCP is a daily 0-100 index of keyword mention volume, plus a live hot posts feed. As of August 19, 2026, OpenAI mentions had an index value of 5.3 with 649 mentions in the period. The free plan includes 100 requests per month. Starter is $19 per month.

What the data showed in August 2026

OpenAI mentions had an index value of 5.3 on August 19, 2026, down 27.4% from 7.3 on August 12, 2026 and up 488.89% from 0.9 on August 5, 2026. Daily mention volume was 649, against 677 on August 12, 2026, a 7D volume change of -4.14%, and 589 on August 5, 2026, a 14D volume change of +10.19%.

AI agents mentions had an index value of 10.9 on August 19, 2026, down 72.12% from 39.1 on August 12, 2026 and down 24.83% from 14.5 on August 5, 2026. Daily mention volume was 88, against 166 a week earlier, a 7D volume change of -46.99%. The 14D volume change was -10.2% from 98.

The 2 windows tell different stories for the same phrase. OpenAI at +488.89% over 14D against -27.4% over 7D means the phrase spiked around August 5, 2026 and is now cooling. That 2-window read is the reason to ask for both presets in one call.

What the live feed showed on August 19, 2026

The Reddit Hot Posts feed was led by general interest and news. Rank 1 was A little basic empathy and kindness go such a long way. Rank 2 was meirl. Rank 3 was a baby cuttlefish attempting its first camouflage. Rank 8 was a viral De-Flock America campaign urging people to disable AI cameras on Halloween night. Rank 9 was a Tokyo home purchase at 87m yen and a 1.03% rate.

Further down the list: rank 16 covered claims that the USS Lincoln was not resupplied, rank 23 covered a Chinese humanoid robot named Superman from Unitree Robotics running at 12.66 meters per second, about 28.3 miles per hour, against Usain Bolt's 12.42, and rank 25 covered the Luigi Mangione trial postponed indefinitely.

The exact calls

get_trends returns the history. get_growth returns period percentages plus mention counts. get_top_trends with type Reddit Hot Posts returns the live feed with no keyword.

get_trends(keyword='openai', source='reddit', data_mode='daily')

get_growth(keyword='openai', source='reddit', percent_growth=['7D', '14D'])

How Reddit differs from news and search

Reddit mention volume measures discussion, not article counts or search interest. A topic can lead the news while Reddit stays quiet, and a topic can dominate Reddit for days before any outlet covers it. The news volume data page covers article mention counts, and the reddit trends page covers the source overview.

The keyword is a phrase as redditors write it. openai is valid. The series counts mentions across tracked subreddits, not upvotes or comments on a single post.

Who uses Reddit discussion data

Content teams use the hot post list to pick topics 2 to 3 days before they peak on other platforms. Investors track mention volume as an attention signal. Developers pipe mention counts into alerting with daily cron jobs.

A practical workflow: pull Reddit Hot Posts each morning, filter the 25 posts to the 3 or 4 in your niche, then call get_growth with 7D and 14D on each phrase to separate 1-day spikes from 2-week climbers. A desk tracking 30 phrases can run that loop inside 100 requests per month on the free plan.

Limits and caveats

The history window is short. As of August 19, 2026, the available window ran from July 22, 2026 to August 19, 2026, about 26 daily points. A 3M or 1Y growth call returns a date_out_of_range error until the series accumulates more history. The 0-100 index is relative to that keyword's own peak in the window.

Reddit data covers public posts across tracked subreddits, not private communities. Mention counts do not measure upvotes, comments, or reach. Quota is 100 requests per month on the free plan, Starter $19 per month.

Getting started

Sign up on the free tier, copy the API key, and make the first call with any HTTP client. The setup guide covers Claude, Cursor, and plain REST in 4 copy-paste blocks. The trending topics API page covers multi-feed discovery in more depth.