Analytics Trends
Retrieve trending FDA 483 citation data, frequency analysis, and industry benchmarks to understand regulatory focus areas and compliance patterns.
Endpoint
GET /v1/kg/analytics/trends
Base URL: https://api.ctwise.ai
Authorization Tier: Pro+
Request
Query Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
time_period | string | No | Time period for analysis: 30d, 90d, 1y, 3y, 5y (default: 1y) |
product_type | string | No | Filter by product type: drug, food, device, api, all (default: all) |
facility_type | string | No | Filter by facility type: manufacturing, laboratory, packaging, warehouse, all (default: all) |
trend_type | string | No | Type of trend: citations, event_types, regulations, all (default: all) |
limit | number | No | Maximum results per category (1-100, default: 25) |
include_forecasts | boolean | No | Include predictive trend forecasts (default: false) |
Example Request
curl -X GET "https://api.ctwise.ai/v1/kg/analytics/trends?time_period=1y&product_type=drug&trend_type=all&limit=10" \
-H "Content-Type: application/json"
Response
Success (200)
{
"analysis_period": {
"start_date": "2025-03-03",
"end_date": "2026-03-03",
"duration_days": 365,
"total_observations_analyzed": 3247,
"total_facilities_inspected": 892
},
"trending_citations": [
{
"rank": 1,
"cfr_section": "21 CFR 211.192",
"title": "Production record review",
"citation_count": 312,
"percentage_of_total": 9.6,
"trend": "increasing",
"trend_percentage": "+23.4%",
"previous_period_rank": 3,
"rank_change": "+2",
"common_deficiency_patterns": [
"Annual product review not completed timely",
"Batch records not reviewed for trend analysis",
"Quality unit review not documented"
],
"affected_facility_types": [
{"facility_type": "manufacturing", "count": 187},
{"facility_type": "packaging", "count": 89},
{"facility_type": "laboratory", "count": 36}
]
},
{
"rank": 2,
"cfr_section": "21 CFR 211.160",
"title": "General requirements (Laboratory Controls)",
"citation_count": 287,
"percentage_of_total": 8.8,
"trend": "stable",
"trend_percentage": "+1.2%",
"previous_period_rank": 1,
"rank_change": "-1",
"common_deficiency_patterns": [
"Laboratory testing not per written procedures",
"Out-of-specification investigations inadequate",
"Method validation deficiencies"
],
"affected_facility_types": [
{"facility_type": "laboratory", "count": 201},
{"facility_type": "manufacturing", "count": 86}
]
},
{
"rank": 3,
"cfr_section": "21 CFR 211.100",
"title": "Written procedures; deviations",
"citation_count": 243,
"percentage_of_total": 7.5,
"trend": "increasing",
"trend_percentage": "+18.7%",
"previous_period_rank": 5,
"rank_change": "+2",
"common_deficiency_patterns": [
"Deviations not documented or investigated",
"Written procedures not followed",
"Deviation approval process inadequate"
],
"affected_facility_types": [
{"facility_type": "manufacturing", "count": 156},
{"facility_type": "packaging", "count": 54},
{"facility_type": "warehouse", "count": 33}
]
}
],
"trending_event_types": [
{
"rank": 1,
"event_type": "documentation_deficiency",
"category": "documentation",
"occurrence_count": 876,
"percentage_of_total": 27.0,
"trend": "increasing",
"trend_percentage": "+15.3%",
"most_cited_cfr": ["21 CFR 211.192", "21 CFR 211.194", "21 CFR 211.188"],
"severity_distribution": {
"critical": 23,
"major": 612,
"minor": 241
}
},
{
"rank": 2,
"event_type": "equipment_calibration",
"category": "equipment",
"occurrence_count": 534,
"percentage_of_total": 16.4,
"trend": "stable",
"trend_percentage": "+2.1%",
"most_cited_cfr": ["21 CFR 211.68", "21 CFR 211.160"],
"severity_distribution": {
"critical": 45,
"major": 387,
"minor": 102
}
},
{
"rank": 3,
"event_type": "cleaning_validation",
"category": "sanitation",
"occurrence_count": 421,
"percentage_of_total": 13.0,
"trend": "increasing",
"trend_percentage": "+28.6%",
"most_cited_cfr": ["21 CFR 211.67", "21 CFR 211.56"],
"severity_distribution": {
"critical": 67,
"major": 298,
"minor": 56
}
}
],
"regulation_focus_areas": [
{
"cfr_part": "211 Subpart F - Production and Process Controls",
"citation_count": 892,
"percentage_of_total": 27.5,
"trend": "increasing",
"trend_percentage": "+12.8%",
"top_sections": [
"21 CFR 211.100",
"21 CFR 211.110",
"21 CFR 211.113"
]
},
{
"cfr_part": "211 Subpart J - Records and Reports",
"citation_count": 745,
"percentage_of_total": 22.9,
"trend": "increasing",
"trend_percentage": "+19.4%",
"top_sections": [
"21 CFR 211.192",
"21 CFR 211.194",
"21 CFR 211.188"
]
},
{
"cfr_part": "211 Subpart I - Laboratory Controls",
"citation_count": 623,
"percentage_of_total": 19.2,
"trend": "stable",
"trend_percentage": "+3.2%",
"top_sections": [
"21 CFR 211.160",
"21 CFR 211.165",
"21 CFR 211.194"
]
}
],
"geographic_trends": [
{
"region": "US - Northeast",
"inspection_count": 234,
"observation_count": 892,
"avg_observations_per_inspection": 3.8,
"top_citation": "21 CFR 211.192"
},
{
"region": "US - Southeast",
"inspection_count": 198,
"observation_count": 723,
"avg_observations_per_inspection": 3.7,
"top_citation": "21 CFR 211.160"
},
{
"region": "US - West",
"inspection_count": 167,
"observation_count": 589,
"avg_observations_per_inspection": 3.5,
"top_citation": "21 CFR 211.100"
},
{
"region": "International - Europe",
"inspection_count": 156,
"observation_count": 612,
"avg_observations_per_inspection": 3.9,
"top_citation": "21 CFR 211.192"
},
{
"region": "International - Asia",
"inspection_count": 137,
"observation_count": 431,
"avg_observations_per_inspection": 3.1,
"top_citation": "21 CFR 211.160"
}
],
"severity_trends": {
"critical": {
"count": 234,
"percentage": 7.2,
"trend": "increasing",
"trend_percentage": "+34.2%",
"most_common_types": ["data_integrity", "contamination", "adulteration"]
},
"major": {
"count": 2156,
"percentage": 66.4,
"trend": "stable",
"trend_percentage": "+4.1%",
"most_common_types": ["documentation_deficiency", "equipment_calibration", "cleaning_validation"]
},
"minor": {
"count": 857,
"percentage": 26.4,
"trend": "decreasing",
"trend_percentage": "-8.3%",
"most_common_types": ["labeling_minor", "housekeeping", "training_documentation"]
}
},
"predictive_forecasts": {
"enabled": false,
"next_quarter_predictions": null
},
"evidence_sources": [
{
"source_type": "fda_483_database",
"source_id": "fda-483-analytics-2025-2026",
"retrieval_method": "aggregation",
"confidence": 0.99,
"data_period": "2025-03-03 to 2026-03-03",
"total_records": 3247
},
{
"source_type": "geographic_metadata",
"source_id": "inspection-location-data-2025-2026",
"retrieval_method": "aggregation",
"confidence": 0.97,
"data_period": "2025-03-03 to 2026-03-03"
}
],
"evidence_chain": {
"chain_integrity": "verified",
"evidence_coverage": 0.99,
"provenance_complete": true,
"sources_verified": 2,
"last_verification_date": "2026-03-03"
},
"response_metadata": {
"analytics_version": "1.0.0",
"processing_timestamp": "2026-03-03T12:00:00Z",
"resolver_version": "1.0.0",
"lambda_request_id": "jkl012-mno345",
"processing_time_ms": 847,
"cache_status": "miss"
}
}
Response Fields
| Field | Type | Description |
|---|---|---|
analysis_period | object | Time period analyzed |
analysis_period.start_date | string | Analysis start date (ISO 8601) |
analysis_period.end_date | string | Analysis end date (ISO 8601) |
analysis_period.duration_days | number | Total days in analysis period |
analysis_period.total_observations_analyzed | number | Total FDA 483 observations analyzed |
analysis_period.total_facilities_inspected | number | Unique facilities inspected |
trending_citations | array | Top cited CFR sections |
trending_citations[].rank | number | Current ranking by frequency |
trending_citations[].cfr_section | string | CFR citation |
trending_citations[].title | string | CFR section title |
trending_citations[].citation_count | number | Total citations in period |
trending_citations[].percentage_of_total | number | Percentage of all citations |
trending_citations[].trend | string | Trend direction: increasing, stable, decreasing |
trending_citations[].trend_percentage | string | Percentage change vs previous period |
trending_citations[].previous_period_rank | number | Rank in previous period |
trending_citations[].rank_change | string | Change in rank (e.g., "+2", "-1") |
trending_citations[].common_deficiency_patterns | string[] | Most common deficiency descriptions |
trending_citations[].affected_facility_types | array | Facility type breakdown |
trending_event_types | array | Top event types by occurrence |
trending_event_types[].rank | number | Ranking by frequency |
trending_event_types[].event_type | string | Event type identifier |
trending_event_types[].category | string | High-level category |
trending_event_types[].occurrence_count | number | Total occurrences |
trending_event_types[].severity_distribution | object | Breakdown by severity level |
regulation_focus_areas | array | CFR parts and subparts with high activity |
geographic_trends | array | Trends by geographic region |
geographic_trends[].region | string | Geographic region identifier |
geographic_trends[].inspection_count | number | Total inspections in region |
geographic_trends[].observation_count | number | Total observations in region |
geographic_trends[].avg_observations_per_inspection | number | Average observations per inspection |
severity_trends | object | Trends by severity level |
severity_trends.critical/major/minor | object | Metrics for each severity level |
predictive_forecasts | object | Future trend predictions (if enabled) |
evidence_sources | array | Data sources used for analysis |
evidence_chain | object | Evidence integrity metrics |
response_metadata | object | Processing metadata |
Error Responses
| Status | Cause | Response Example | Resolution |
|---|---|---|---|
| 400 | Invalid time_period | {"error": "Invalid time_period. Must be: 30d, 90d, 1y, 3y, 5y"} | Use valid time period value |
| 400 | Invalid product_type | {"error": "Invalid product_type. Must be: drug, food, device, api, all"} | Use valid product type |
| 400 | Invalid limit | {"error": "limit must be between 1 and 100"} | Use limit between 1-100 |
| 403 | Insufficient authorization | {"error": "Pro+ subscription required"} | Upgrade to Pro or Enterprise tier |
| 500 | Analytics failure | {"error": "Internal analytics error"} | Retry request; check Lambda logs |
Time Period Options
| Parameter Value | Duration | Description | Use Case |
|---|---|---|---|
30d | 30 days | Recent short-term trends | Immediate compliance landscape |
90d | 90 days | Quarterly trends | Quarterly QA/RA reviews |
1y | 1 year | Annual trends | Annual compliance planning |
3y | 3 years | Multi-year patterns | Strategic compliance initiatives |
5y | 5 years | Long-term regulatory evolution | Regulatory strategy development |
Usage Examples
Recent Pharmaceutical Trends
curl -X GET "https://api.ctwise.ai/v1/kg/analytics/trends?time_period=90d&product_type=drug&trend_type=citations&limit=20" \
-H "Content-Type: application/json"
All Trends with Forecasts
curl -X GET "https://api.ctwise.ai/v1/kg/analytics/trends?time_period=1y&product_type=all&trend_type=all&limit=10&include_forecasts=true" \
-H "Content-Type: application/json"
Device Manufacturing Focus
curl -X GET "https://api.ctwise.ai/v1/kg/analytics/trends?time_period=1y&product_type=device&facility_type=manufacturing&trend_type=event_types" \
-H "Content-Type: application/json"
Trend Indicators
Trend Classification
| Trend Type | Criteria | Interpretation |
|---|---|---|
| Increasing | +10% or more vs previous period | Growing regulatory focus; proactive remediation recommended |
| Stable | -10% to +10% vs previous period | Consistent regulatory priority; maintain compliance programs |
| Decreasing | -10% or more vs previous period | Declining focus or improved industry compliance |
Rank Change Significance
| Rank Change | Significance | Action |
|---|---|---|
| +5 or more | Major shift in regulatory focus | Immediate review of QMS for this area |
| +2 to +4 | Notable increase in priority | Enhanced monitoring and preventive measures |
| -1 to +1 | Stable priority | Continue current compliance approach |
| -2 to -4 | Declining priority | Maintain vigilance; may reduce intensive focus |
| -5 or more | Major decrease in citations | Review for industry improvements; sustain gains |
Performance Characteristics
| Metric | Typical Value | Notes |
|---|---|---|
| Response Time | 600-1200ms | Depends on time period and filters |
| Data Freshness | Updated weekly | FDA 483 data ingested weekly |
| Historical Coverage | 2020-present | 15,000+ observations |
| Cache Duration | 24 hours | Cached by query parameters |
Notes
- Authorization: Requires Pro+ subscription tier
- Data Sources: Based on publicly available FDA 483 observation reports
- Update Frequency: Analytics database updated weekly with new FDA 483 data
- Evidence Framework: All analytics include full provenance (P0 non-negotiable)
- Geographic Coverage: US regions and major international manufacturing hubs
- Predictive Forecasts: Enterprise tier feature using time-series analysis (planned Q2 2026)
- Rate Limiting: Pro: 50 requests/hour; Enterprise: unlimited
- Export Options: Enterprise tier supports CSV/Excel export (contact support)
Use Cases
Quality Management Systems
- Identify emerging regulatory focus areas for proactive QMS updates
- Benchmark facility citation rates against regional and industry averages
- Plan internal audit schedules based on trending citation areas
- Prioritize CAPA resources for high-risk compliance areas
Regulatory Affairs
- Prepare for FDA inspections by understanding current citation trends
- Support regulatory intelligence for submission planning
- Brief executive teams on compliance landscape changes
- Develop regulatory strategy based on multi-year trends
Quality Assurance
- Focus training programs on trending deficiency areas
- Allocate validation resources to high-risk processes
- Monitor severity trends for early warning signals
- Compare facility performance to industry benchmarks
Enterprise Risk Management
- Quantify compliance risk exposure by comparing to industry trends
- Identify geographic regions with elevated regulatory activity
- Support supply chain risk assessments for contract manufacturers
- Track effectiveness of compliance improvement initiatives
Related Endpoints
- Classify Event - Classify events against trending citations
- Investigate Event - Deep investigation with trend context
- Get CFR Regulation - Review details of trending CFR sections