A datapoint is one piece of actionable information extracted from an email. Each time Echo finds something worth surfacing — an amount, a deadline, a promo code, a status — that’s a datapoint.Documentation Index
Fetch the complete documentation index at: https://echo-docs.beau.to/llms.txt
Use this file to discover all available pages before exploring further.
How datapoints are counted
One email can produce multiple datapoints depending on how much structured data it contains.| Datapoints | |
|---|---|
| Invoice #2024-0415 → $2,340 due Apr 18 | 3 |
| Slack renewal → annual plan, $156/year, expires Dec 1 | 3 |
| Office lease reminder → deadline Aug 31 | 1 |
| Promo code email → XMAS26 for 25% off | 2 |
Monthly limit
Each plan includes 1,000 datapoints per month. This is enough for roughly 300–500 relevant emails analyzed. The limit resets at the start of each billing cycle.What happens when you hit the limit
Once you reach 1,000 datapoints, Echo stops processing new emails for the rest of the month. Emails that arrive after the limit is reached are not analyzed and won’t appear on your dashboard — even retroactively once the limit resets.If you’re approaching your limit, consider reviewing your Rules. A Rule that’s too broad may be extracting datapoints from emails you don’t actually care about.
How to stay within your limit
- Use specific Rules. The more precise your prompt, the fewer irrelevant emails get processed.
- Monitor your usage. You can see how many datapoints you’ve used this month in your account settings.
- Delete unused Rules. Rules you no longer need keep consuming datapoints on every matching email.