Raindrop AI pricing

The Plans, as Published

Raindrop documents its plans in its docs. The homepage's pricing line is "Start free, no credit card required. Upgrade as you grow."

Two details decide most bills. First, the $299 buys no events; every event on Pro is metered from the first one. Second, the unit is the turn: in its HTTP API docs, "One event is one turn: user input, the tools the agent ran, and the assistant output." A ten-turn conversation is ten events, however many tool calls happen inside each turn.

PII Guard, which redacts personal data at ingestion using pattern matching and AI models, is priced separately in the PII docs, starting at $80 a month. The client-side redaction in the TypeScript SDK is regex-only and needs no add-on.

What Pro Costs at Your Volume

Assumptions for every row: Pro plan; no events included in the $299; the per-event price is graduated, so the first 1M events are billed at $0.003 and only events above 1M at $0.002; no PII Guard, taxes or Enterprise discounts; a 30-day month.

If the rate is instead applied to all events once you pass 1M - the docs say "$0.003 per event to 1M, then $0.002", which reads as graduated but does not spell it out - then 2M events would be $299 + $4,000 = $4,299. Ask which before you sign anything above 1M.

To turn your traffic into events, multiply conversations by turns. A support agent that handles 3,000 conversations a day at an average of 5 turns sends 15,000 events a day, or 450,000 in a 30-day month: $299 + (450,000 x $0.003) = $1,649 a month. Halve the turns and it is $974. The turn count is usually the number people get wrong.

What the Price Buys, and What It Does Not

The features that make Raindrop worth paying for sit on Pro: Issue Detection, which groups failures into Stumbles and ranked Issues; Experiments, which compares a baseline and an experiment cohort of logged events by model, prompt version, date range or feature flag; and ten custom Signals, plain-language classifiers you refine by labeling. On Hobby you see previews, which is enough to judge whether the product fits but not to run it.

Some things are Enterprise-only whatever your volume: SSO and SAML, audit logs, edge PII redaction and warehouse export. A team whose security review requires SSO is on a custom contract from day one. Self-hosting is not a plan at all yet - Raindrop is rolling VPC deployment out with a select group of initial partners. And no plan blocks an agent action; Raindrop detects and alerts, in Slack.

Old Prices You Will Still Find

How It Compares with Nearby Tools

Entry prices across the category: Latitude Pro is $99 a month for 100K credits, Galileo lists Pro at $100 a month for 50,000 traces through a demo, and Failproof AI Team is $99 a month for 50,000 runs and 50,000 evaluations, then $1.00 per 1,000 additional runs. Judgment Labs publishes no pricing. The units differ: a Raindrop event is one turn, a Galileo trace is one trace, a Failproof AI run is one agent session, and Latitude does not publicly define a credit. Price your own traffic in each unit before comparing totals. The side-by-side is in agent observability pricing compared.

The prices also buy different workflows. Raindrop provides Signals, Issue Detection and cohort-based Experiments over production events. Failproof AI runs code-based and LLM-based evaluations, automatically groups recurring failures into findings with trace evidence and a recommended fix, and routes them through alerts and ownership. For supported high-risk actions, a tested behavioral policy can then steer or block the action. See Failproof AI vs Raindrop.

What the Hobby Plan Is For

If your agent sends fewer than 1,000 turns a month - a prototype, an internal tool, a demo - Hobby covers it, with the understanding that ingestion stops at the cap rather than billing you. For local debugging and eval runs, Raindrop's Workshop is MIT-licensed and runs on your machine. Paying $299 before you have enough traffic for Signals and Experiments to say anything is usually premature.