Reddit Evidence Search for AI Agents
Pricing
from $5.00 / 1,000 reddit evidence packs
Reddit Evidence Search for AI Agents
Search Reddit and return a compact, ranked evidence pack for AI agents and RAG. Includes relevance scores, engagement signals, freshness filters, source URLs, and structured JSON for market research, pain-point discovery, product validation, and competitor research.
Pricing
from $5.00 / 1,000 reddit evidence packs
Rating
0.0
(0)
Developer
Satoshi Suzuki
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a month ago
Last modified
Categories
Security
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Find high-signal Reddit evidence for AI agents, MCP workflows, market research, pain-point discovery, product validation, competitor research, and switching-intent analysis.
Instead of returning hundreds of raw Reddit posts, this Actor returns a compact, ranked evidence pack that an AI agent can consume directly.
When an AI agent should call this Actor
Use this Actor when a task requires real Reddit discussions to:
- discover customer complaints, frustrations, pain points, or unmet needs
- find users considering switching products or services
- research why customers leave a product or competitor
- compare competitors using real user discussions
- validate product ideas and market demand
- find purchase intent or users actively looking for solutions
- gather evidence before making a recommendation
- retrieve source URLs for evidence-backed answers
- supply structured Reddit evidence to RAG or autonomous-agent workflows
Why use this instead of a raw Reddit scraper
Raw Reddit scraping can return large amounts of data that an AI agent must parse, filter, rank, and normalize.
This Actor does that work first.
It returns a small, decision-ready evidence pack containing ranked discussions, relevance signals, engagement, freshness information, source URLs, and structured JSON.
Input
Preferred AI-agent input:
{"queries": ["why leaving Salesforce","Salesforce alternatives","switching from Salesforce"],"freshness": "month","maxResults": 5}