Interact with the Gleap customer support platform via its REST API. Fetch ticket data, support metrics, team performance, heatmaps, and raw event logs.
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Gleap is a customer support platform with built-in AI bot, bug reporting, feedback widgets, and a solid API. Worth it for any SaaS handling support tickets.
Every request requires two headers:
bash
Authorization: Bearer $GLEAP_TOKEN
Project: $GLEAP_PROJECT
GLEAP_TOKEN — JWT service account token. Get it from Gleap dashboard → Settings → API.GLEAP_PROJECT — Your project ID. Found in Gleap dashboard URL or Settings.text
https://api.gleap.io/v3
1000 requests per 60 seconds per project.
bash
curl -s "https://api.gleap.io/v3/statistics/facts?chartType=NEW_TICKETS_COUNT&startDate=$(date -u -v-7d +%Y-%m-%dT00:00:00.000Z)&endDate=$(date -u +%Y-%m-%dT23:59:59.999Z)" \
-H "Authorization: Bearer $GLEAP_TOKEN" \
-H "Project: $GLEAP_PROJECT" | jq .
If this returns a JSON object with title and value, you're connected.
The Gleap API has 6 main endpoint families:
EndpointPurposeWhen to use/statistics/factsSingle aggregate KPI"How many tickets this week?"/statistics/bar-chartTime-series data"Show me ticket trends over the last 30 days"/statistics/listsTabular data (agents, tickets)"How is each agent performing?"/statistics/lists/exportCSV export of list data"Export team performance as CSV"/statistics/heatmapVolume by hour/weekday"When are our busiest support hours?"/statistics/raw-dataIndividual event records"Show me every ticket action today"/ticketsTicket objects"Get actual ticket details"
All endpoints accept these common parameters:
startDate — ISO 8601 (e.g., 2026-04-01T00:00:00.000Z)endDate — ISO 8601 (e.g., 2026-04-04T23:59:59.999Z)timezone — IANA timezone (e.g., Europe/Paris, America/New_York)For the full endpoint reference with all chartType values, response structures, and examples, read references/endpoints.md.
bash
curl -s "https://api.gleap.io/v3/statistics/{endpoint}?chartType={CHART_TYPE}&startDate={START}&endDate={END}&timezone={TZ}" \
-H "Authorization: Bearer $GLEAP_TOKEN" \
-H "Project: $GLEAP_PROJECT" | jq .
Always use -s (silent) and pipe to jq for clean output.
bash
# Today
TODAY=$(date -u +%Y-%m-%dT00:00:00.000Z)
TODAY_END=$(date -u +%Y-%m-%dT23:59:59.999Z)
# Yesterday
YESTERDAY=$(date -u -v-1d +%Y-%m-%dT00:00:00.000Z)
YESTERDAY_END=$(date -u -v-1d +%Y-%m-%dT23:59:59.999Z)
# Last 7 days
WEEK_AGO=$(date -u -v-7d +%Y-%m-%dT00:00:00.000Z)
# Last 30 days
MONTH_AGO=$(date -u -v-30d +%Y-%m-%dT00:00:00.000Z)
chartTypeWhat it measuresNEW_TICKETS_COUNTNew tickets createdTICKET_CLOSE_COUNTTickets closedREPLIES_COUNTReplies sent by agentsMESSAGE_COUNTTotal messages (all sources)
chartTypeWhat it measuresUnitMEDIAN_FIRST_RESPONSE_TIMETime to first replysecondsMEDIAN_REPLY_TIMEMedian reply timesecondsMEDIAN_TIME_TO_CLOSETime from open to closeseconds
chartTypeWhat it measuresKAI_INVOLVEDAI bot handled ticketAI_QUESTIONS_ASKED_COUNTQuestions asked to AICUSTOMER_SUPPORT_REQUESTEDEscalated to human
chartTypeWhat it measuresMEDIAN_CONVERSATION_RATINGCustomer satisfaction scoreSLA_BREACHES_COUNTSLA violationsSLA_STARTED_COUNTSLA tracking started
bash
# 1. Get yesterday's ticket count
curl -s "https://api.gleap.io/v3/statistics/facts?chartType=NEW_TICKETS_COUNT&startDate=$YESTERDAY&endDate=$YESTERDAY_END" \
-H "Authorization: Bearer $GLEAP_TOKEN" \
-H "Project: $GLEAP_PROJECT" | jq '{tickets: .value, change_pct: .progressValue}'
# 2. Get team performance
curl -s "https://api.gleap.io/v3/statistics/lists?chartType=TEAM_PERFORMANCE_LIST&startDate=$YESTERDAY&endDate=$YESTERDAY_END" \
-H "Authorization: Bearer $GLEAP_TOKEN" \
-H "Project: $GLEAP_PROJECT" | jq '.data[] | {agent: .processingUserREF, assigned: .totalCountForUser.value, replies: .commentCount.value, closed: .rawClosed.value}'
# 3. Get open ticket snapshot
curl -s "https://api.gleap.io/v3/statistics/lists?chartType=SNAPSHOT_TICKETS&startDate=$YESTERDAY&endDate=$YESTERDAY_END" \
-H "Authorization: Bearer $GLEAP_TOKEN" \
-H "Project: $GLEAP_PROJECT" | jq '.data[] | {type: .type, open: .openCount, closed: .closedCount}'
bash
# Facts endpoint includes progressValue (% change vs previous period)
for metric in NEW_TICKETS_COUNT MEDIAN_FIRST_RESPONSE_TIME MEDIAN_TIME_TO_CLOSE; do
echo "=== $metric ==="
curl -s "https://api.gleap.io/v3/statistics/facts?chartType=$metric&startDate=$WEEK_AGO&endDate=$TODAY_END" \
-H "Authorization: Bearer $GLEAP_TOKEN" \
-H "Project: $GLEAP_PROJECT" | jq '{metric: .title, value: .value, unit: .valueUnit, change_pct: .progressValue}'
done
bash
curl -s "https://api.gleap.io/v3/statistics/heatmap?chartType=BUSIEST_HOURS_PER_WEEKDAY&startDate=$MONTH_AGO&endDate=$TODAY_END&timezone=Europe/Paris" \
-H "Authorization: Bearer $GLEAP_TOKEN" \
-H "Project: $GLEAP_PROJECT" | jq '.series[] | {day: .name, peak_hour: (.data | max_by(.y) | .x), peak_volume: (.data | max_by(.y) | .y)}'
For more workflows and use cases, read references/use-cases.md.
rawValue: 6570.52 = 6570 seconds = ~1.8 hours. Always convert for display./statistics/raw-data and /tickets, use limit and skip parameters. Default limit is ~10000 for raw-data.createdAt.FileWhen to readreferences/endpoints.mdNeed full endpoint details, response structures, all chartType valuesreferences/use-cases.mdBuilding reports, dashboards, automations, or integrating with other tools