Credits & usage
How SnitchFeed measures credits for scheduled scans, API searches, chat with mentions, AI scoring, and exports—and how to estimate monthly usage.
Your workspace has a credit balance for each billing period. Credits are spent when SnitchFeed runs metered work on your behalf:
- Chat with mentions (each generated deeplink session)
- Scheduled keyword scans on X and LinkedIn
- Optional API searches
- AI relevance scoring for stored mentions
- Export mentions (CSV) (flat fee per file)
Tracked platforms explains which networks refresh on a schedule versus in real time. This page lists exact per-action costs as implemented in the product today.
Per-action credit costs
These amounts are charged when the corresponding job completes successfully.
| Activity | Credits | Notes |
|---|---|---|
| X (Twitter) keyword scan | 2 | One charge per included keyword each time that keyword’s scheduled scan runs for a listener. |
| LinkedIn keyword scan | 4 | One charge per included keyword each time that keyword’s scheduled scan runs for a listener. |
| X (Twitter) API search | 2 | Each API-backed search your workspace runs (for example from the product UI or integrations). |
| LinkedIn API search | 4 | Each API-backed search your workspace runs. |
| AI mention scoring | 0.2 | Charged per mention when SnitchFeed runs AI scoring and stores the match (all supported platforms that use this pipeline). |
| Export mentions (CSV) | 100 | Flat fee per export, no matter how many rows are included. |
| Chat with mentions | 100 | One charge each time you create the chat link (copy prompt / pick a model — whenever the API-backed deeplink is generated). |
Reddit, Bluesky, and credits
Reddit and Bluesky are delivered on a real-time ingestion model (not per-keyword scheduled scans like X and LinkedIn). You are not charged the per-keyword scan rates above for those networks. You are still charged AI mention scoring (0.2 credits per mention) when a match is scored and stored the same way as other platforms.
Estimating scheduled scan usage (X and LinkedIn)
For one listener, over an approximate 30-day month:
credits ≈ (24 hours in a day ÷ scan interval in hours) × 30 days × keyword count × credits per keyword scanScan interval in hours is the value you pick in the listener (for example 4 for “every 4 hours”). Use 2 credits per keyword scan for X, and 4 for LinkedIn.
Example: 5 keywords, X every 4 hours, LinkedIn every 12 hours, both platforms enabled:
- X: (24 ÷ 4) × 30 × 5 × 2 = 1,800 credits/month
- LinkedIn: (24 ÷ 12) × 30 × 5 × 4 = 1,200 credits/month
Actual totals depend on how many listeners you run, how many keywords each has, which platforms are toggled on, and each listener’s Scan every interval (presets from 1 hour up to 24 hours).
Usage history
In the app, open workspace Settings and review Credit usage to see a line-by-line history with sources such as polls, API search, chat with mentions, AI scoring, and CSV export.
Getting more credits
To get more credits, you can either upgrade your plan, or buy more credits.
For plan limits and pricing, see snitchfeed.com.