Reddit keyword monitoring your agent can run itself.
Track 20 keywords across all of Reddit plus 25 subreddit Watchers, with AI relevance verification and Slack alerts — $19/mo flat, no per-call fees. Every match is embedded for semantic search in one Dataset your agent queries over MCP, REST, or webhook.
At a glance
- 20 keywords across all of Reddit, each searched daily — plus 25 Watchers on the subreddits you pick, crawled hourly for posts and comments.
- AI relevance verification is included at $19. Competitors gate it: F5Bot’s AI filtering starts on its $49.99/mo Gold tier, Brand24’s AI suite on its ~$499/mo Pro tier.
- Semantic matching, not just exact strings. “Frustrated with our dashboard” surfaces for an analytics product with none of your keywords in it.
- Your agent manages it, not just reads it. Over MCP it can create Watchers and keyword monitors, wire alerts, and review its own setup on a schedule.
- $19/mo flat, 14-day free trial, no card. Scale ($79/mo) and Team (from $299/mo) for heavier agent workloads — see pricing.
New to this? The 5 ways to get Reddit keyword alerts guide compares every method, free and paid.
Most monitoring tools fall short in three places
Reddit's commercial API kills indie tools (see GummySearch). Generic alerts fire on every mention, including the irrelevant ones. New keywords usually start cold with no backfill. Prowlo's Keyword Monitor and tagging rules solve all three at once.
Keyword-only Misses Meaning
Pure keyword alerts catch the word and nothing else. Semantic search catches the meaning but skips niche jargon. A Watcher combines both — exact-term keyword rules plus a Vertex vector embedding on every record, so your agent can search the Dataset by meaning, not just spelling.
Alerts Without Filtering Are Noise
Generic alert tools ping you on every mention. A Watcher carries a JSON prefilter rule — min upvotes, language, post age, exclude reposts, exclude promo accounts. Most raw items never reach your Dataset, so your agent's context window stays clean.
New Keywords Start Cold
Most monitoring tools only start matching from the moment you add a keyword. That means you miss every relevant discussion from the past week. By the time matches trickle in, the best engagement windows have already closed.
What a Watcher is made of
Three things: one channel — a subreddit, a Reddit user, Hacker News, Mastodon, RSS, an X account, or a Keyword Monitor search across all of Reddit — an optional intake filter, and the keyword tagging rules you add. The crawler reads only your watched channels and writes matching records into your Dataset.
Real-Time Matching
Every post a Watcher ingests is checked against your tagging rules during ingestion — no separate batch scans. When someone mentions your tracked term in a watched subreddit, the match is filtered, embedded, and written to your Dataset within minutes — ready for your agent to query over MCP.
Automatic Backfill
Add a keyword and immediately see matches from the last 7 days of ingested posts. No cold-start problem. This means you can test new keywords and instantly know whether they produce relevant results — or refine them before committing to ongoing monitoring.
Alerts on Keyword Matches
An Alert is a persistent query over your Dataset. Point one at a high-priority term like a competitor brand name and it fires the moment a matching record lands. Alerts ship to Slack or any webhook — pick the destination per Alert.
Two Kinds of Keyword Tracking
Keywords on the Keyword Monitor page search all of Reddit — 3 on the free trial, 20 on the paid plan, on a quota separate from your community Watchers (5 trial / 25 paid). Tagging rules inside those Watchers are uncapped — stack as many as your core product terms, top competitors, and category phrases need.
From Keyword to Dataset Record
Three steps between adding a keyword and having matches available in your Dataset. No complex setup. Instant results.
Add a Keyword
Open Keyword Monitor and add a query — broad (invoice), exact phrase ("invoice generator"), or wildcard (invoic*) — and it searches all of Reddit, with the first crawl queued the moment you create it. Or add the term as a tagging rule on a community Watcher, which backfills 7 days of matches immediately.
Matching Posts Are Kept
As the Watcher ingests its sources, every post is checked against your keyword rules. Matches are stemming-aware — tracking "deploy" also catches "deploying", "deployed", and "deployment". A post that matches is kept and tagged; the rest are dropped before they cost you a record.
Matches Land in Your Dataset
Keyword matches are filtered by your prefilter rules, embedded for semantic search, and written to your Dataset as typed records. Your agent queries them over MCP, your REST client polls the records endpoint, or you route them to Slack and webhooks via Alerts — all from the same record.
Explore More Tools
Keyword rules work best alongside the rest of Prowlo. Each piece adds a layer of context for your agent to search over.
All Features
See the full Prowlo feature set — Watchers, Dataset search, Alerts, Trends, and the MCP tools your agent can call directly.
Learn moreClaude MCP Integration
Connect Prowlo to Claude in one step. Paste the hosted MCP endpoint, sign in with OAuth, and your agent queries keyword matches directly from the Dataset.
Learn moreLearn More
Guides on putting Reddit keyword tracking to work — from finding SaaS leads to mapping competitor weaknesses to staying on the right side of subreddit moderators. New to keyword alerts? Start with five ways to set up Reddit keyword alerts.
Reddit keyword tracking for SaaS
The five keyword types every SaaS team should track, how to calibrate them, and how your agent turns those records into prioritized engagement opportunities.
Read guideReddit keyword tracking for competitive intelligence
Track competitor names, dissatisfaction signals, and category comparison threads to map weaknesses and surface switching opportunities.
Read guideReddit keyword tracking without getting banned
Keyword alerts fire; replying to all of them gets you banned. The five-step workflow for turning keyword matches into authentic, safe engagement.
Read guideFrequently asked questions
If you can't find what you're looking for, get in touch.
A Watcher is the unit of work in Prowlo. Each one tracks one channel — a subreddit, a Reddit user, Hacker News, Mastodon, RSS, an X account, or a keyword search across all of Reddit — plus an optional prefilter rule and the tagging rules you add. The crawler reads only your watched channels through residential proxies and writes matching records into your Dataset. There is no global crawl: with no Watchers, Prowlo makes zero requests.
JSON. Common rules: min upvotes (e.g. score >= 20), language (e.g. ['en']), post age (e.g. < 6h), exclude reposts, exclude known promo accounts, exclude AutoModerator. You can compose multiple filters. Anything that fails the filter is dropped before it costs you a Dataset record.
Both. Each keyword on the Keyword Monitor page runs its query against all of Reddit — not just watched communities — about once a day, pulling the newest matches into your Dataset. Community Watchers go deeper on the subreddits you pick, checked hourly. Matches from both land in the same Dataset.
The free trial includes 3 keywords; the $19/mo plan includes 20, on a quota separate from your 25 community Watchers. Keyword tagging rules on community Watchers are uncapped. For comparison, Brand24's $249/mo entry plan tracks 3 keywords and KWatch's $19 tier tracks 20 (July 2026 pricing).
They're part of the same plan. All-of-Reddit keywords live on the Keyword Monitor page — add a query and it searches all of Reddit daily, with your tags applied to every find. Keyword tagging rules are filters you add to community Watchers; they decide what gets kept and tagged from watched sources. Either way, matches are embedded and written to your Dataset, where your agent searches them by meaning over MCP.
A new keyword on Keyword Monitor queues its first Reddit-wide crawl on creation, so early matches land within minutes — including older threads that match your query, not just posts made after you add it. From then on it's checked about daily. A new tagging rule on a community Watcher backfills matches from the last 7 days of ingested posts immediately; from then on every new post is checked in real time during ingestion.
Three ways. (1) MCP — your agent calls search_dataset, list_records, get_record from Claude or Cursor. (2) REST — direct HTTP calls to api.prowlo.com. (3) Webhook — fire matches to Slack, n8n, Make.com, or any URL you wire up via an Alert. Same record schema across all three. Prowlo is read-only — it never posts.