Monitor and debug insurtech integrations between legacy and microservices 24/7.
Enterprise insurtech teams struggle to integrate legacy core systems like policy administration with modern microservices.
SyncGuard is a dedicated observability tool for insurtech integrations, capturing payloads, tracing failures, and alerting on anomalies in legacy-to-microservice data flows. It auto-detects common issues like schema drifts and provides one-click fixes. Engineering teams gain visibility without custom logging code.
Enterprise engineering and product teams in insurtech companies
AI-powered anomaly detection tuned for insurtech data patterns like policy mismatches.
supportive
Log all integration payloads bidirectionally.
End-to-end request tracing UI.
AI detects schema drifts/failures.
Suggest/replay corrected payloads.
Build metrics for uptime/SLA.
Instant notifications.
Replay past syncs for testing.
GDPR-ready log exports.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| endpoint | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| monitor_id | uuid | No |
| payload_in | jsonb | No |
| payload_out | jsonb | Yes |
| status | text | No |
| traced_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| monitor_id | uuid | No |
| type | text | No |
| resolved | bool | No |
| alerted_at | timestamp | No |
Relationships:
/api/monitorsCreate monitor
/api/traces/:monitorIdList traces
/api/ingest/:monitorIdIngest trace data
/api/alerts/:monitorIdFetch alerts
/api/fixes/:traceIdApply fix
1k traces/mo
50k traces/mo
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 25 | 8% | $70 | $840 |
| Month 6 | 200 | 12% | $600 | $7,200 |
Catch failures before they hit productionβtraces, alerts, fixes.
Share demo video in insurtech Reddit/Slack; cold email 50 leads from LinkedIn with free audit offer; partner with 2 consultancies for referrals.
Full observability
Expensive, generic
Insurtech-focused, cheaper, easier
Traces
Complex setup
Plug-play for integrations
Anomaly models trained on insurtech data improve with scale.
Integration failures rising with hybrid legacy/modern stacks in 2024.
AI accuracy
Rule-based fallback
Entrenched tools
Niche insurtech entry
Storage costs
Tiered retention
Success: Pain confirmed
Success: 4 active weekly
Success: 20% MoM growth
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