fireflies-cost-tuning
Optimize Fireflies.ai subscription costs through seat auditing, selective recording, and plan sizing. Use when analyzing Fireflies.ai billing, reducing per-seat costs, or implementing usage monitoring and right-sizing. Trigger with phrases like "fireflies cost", "fireflies billing", "reduce fireflies costs", "fireflies pricing", "fireflies expensive", "fireflies budget".
- License 许可
- MIT
- 最近更新
- 2026-07-13
- Stars
- ★ 1
- Forks
- 0
01 前言 Front Matter
- name
- fireflies-cost-tuning
- tags
- [ "saas", "fireflies", "api", "cost-optimization" ]
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- description
- Optimize Fireflies.ai subscription costs through seat auditing, selective recording, and plan sizing. Use when analyzing Fireflies.ai billing, reducing per-seat costs, or implementing usage monitoring and right-sizing. Trigger with phrases like "fireflies cost", "fireflies billing", "reduce fireflies costs", "fireflies pricing", "fireflies expensive", "fireflies budget".
- allowed-tools
- Read, Bash(curl:*), Grep
- compatible-with
- claude-code, codex, openclaw
03 SKILL.md 正文
Fireflies.ai Cost Tuning
Overview
Optimize Fireflies.ai subscription costs. Fireflies charges per-seat per month. The main levers: remove unused seats, configure selective recording, manage storage, and right-size your plan tier.
Pricing Reference
| Plan | Price | API Access | Key Features |
|---|---|---|---|
| Free | $0 | 50 req/day | 800 min storage, limited transcription |
| Pro | ~$18/seat/month | 50 req/day | 8,000 min/seat, AI summaries |
| Business | ~$29/seat/month | 60 req/min | Unlimited transcription, CRM, analytics |
| Enterprise | Custom | 60 req/min | SSO, Super Admin webhooks, custom |
Instructions
Step 1: Audit Seat Utilization via API
set -euo pipefail
# List all workspace users with their transcript counts
curl -s -X POST https://api.fireflies.ai/graphql \
-H "Authorization: Bearer $FIREFLIES_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query": "{ users { name email user_id num_transcripts minutes_consumed } }"}' \
| jq '.data.users | sort_by(.num_transcripts) | .[] | {name, email, transcripts: .num_transcripts, minutes: .minutes_consumed}'
// Automated utilization report
async function seatUtilizationReport() {
const data = await firefliesQuery(`{
users {
name email user_id
num_transcripts minutes_consumed
recent_meeting
}
}`);
const users = data.users;
const inactive = users.filter((u: any) => u.num_transcripts < 2);
const active = users.filter((u: any) => u.num_transcripts >= 2);
console.log(`Total seats: ${users.length}`);
console.log(`Active (2+ transcripts): ${active.length}`);
console.log(`Inactive (<2 transcripts): ${inactive.length}`);
console.log(`Potential savings: ${inactive.length} seats * $29/mo = $${inactive.length * 29}/mo`);
if (inactive.length > 0) {
console.log("\nInactive seats to review:");
for (const u of inactive) {
console.log(` ${u.email}: ${u.num_transcripts} transcripts, last meeting: ${u.recent_meeting || "never"}`);
}
}
return { total: users.length, active: active.length, inactive, savings: inactive.length * 29 };
}
Step 2: Configure Selective Recording
Instead of recording every meeting, configure auto-join rules in Fireflies Settings > Auto-Join:
# Recommended recording policy
record_always:
- External meetings (client/prospect calls)
- Meetings with 3+ participants
- Meetings with keywords: "review", "planning", "standup", "demo"
skip_recording:
- 1-on-1 informal chats
- Social events
- Meetings shorter than 5 minutes
- Recurring "lunch" or "coffee" meetings
Estimated savings: Teams recording every meeting typically waste 30-50% of transcription credits on low-value meetings.
Step 3: Manage Storage to Avoid Forced Upgrades
// Check storage and clean up old transcripts
async function storageAudit() {
const data = await firefliesQuery(`{
transcripts(limit: 100) {
id title date duration
}
user { minutes_consumed }
}`);
const now = Date.now();
const transcripts = data.transcripts;
// Find transcripts older than 90 days
const old = transcripts.filter((t: any) => {
const age = (now - new Date(t.date).getTime()) / 86400000;
return age > 90;
});
console.log(`Total transcripts: ${transcripts.length}`);
console.log(`Older than 90 days: ${old.length}`);
console.log(`Minutes consumed: ${data.user.minutes_consumed}`);
return { total: transcripts.length, old, minutesUsed: data.user.minutes_consumed };
}
// Delete old transcripts to free storage
async function deleteOldTranscripts(ids: string[]) {
for (const id of ids) {
await firefliesQuery(`
mutation($id: String!) {
deleteTranscript(transcript_id: $id)
}
`, { id });
console.log(`Deleted: ${id}`);
// deleteTranscript is rate limited: 10/min
await new Promise(r => setTimeout(r, 6500));
}
}
Step 4: Right-Size Your Plan
# Decision matrix
choose_pro:
when:
- Team averages <15 meetings/week per person
- No CRM integration needed
- Basic AI summaries sufficient
saves: $11/seat/month vs Business
choose_business:
when:
- Sales team recording every call
- CRM integration required (Salesforce, HubSpot)
- Meeting analytics dashboards needed
- 20+ meetings/week per person
choose_enterprise:
when:
- SSO/SAML required
- Super Admin webhooks needed (org-wide meeting data)
- Custom data retention policies
- Dedicated support
Step 5: API Cost Optimization
// Free/Pro plans: 50 requests/day. Make every request count.
// Strategy: Fetch meeting list once, cache aggressively
async function efficientDailySync() {
// One request: get all recent transcripts
const data = await firefliesQuery(`{
transcripts(limit: 50) {
id title date duration
summary { overview action_items }
}
}`);
// Process locally -- no additional API calls
const today = new Date().toDateString();
const todaysMeetings = data.transcripts.filter(
(t: any) => new Date(t.date).toDateString() === today
);
console.log(`Today's meetings: ${todaysMeetings.length}`);
console.log(`API requests used: 1 of 50 daily budget`);
return todaysMeetings;
}
Cost Savings Summary
| Lever | Typical Savings |
|---|---|
| Remove inactive seats | $29/seat/month |
| Selective recording | 30-50% fewer transcriptions |
| Pro vs Business downgrade | $11/seat/month |
| Storage cleanup | Avoid forced tier upgrade |
| API request caching | Stay within Free/Pro limits |
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Can't remove seat | User has admin role | Reassign admin first |
| Storage limit warning | Too many transcripts | Delete old transcripts |
| API daily limit hit | Free/Pro 50 req/day | Cache results, batch efficiently |
| Unexpected invoice increase | Auto-provisioned members | Disable auto-provisioning |
Output
- Seat utilization report with inactive members identified
- Selective recording policy configured
- Storage audit with cleanup recommendations
- Plan right-sizing recommendation
Resources
Next Steps
For architecture design, see fireflies-reference-architecture.
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