curl --request GET \
--url https://api.example.com/stats{
"401": {},
"500": {},
"total_nodes": 123,
"total_edges": 123,
"layer_counts": {},
"edge_type_counts": {},
"source_type_counts": {}
}Retrieve comprehensive statistics about the knowledge graph including node counts, edge distributions, and layer breakdowns
curl --request GET \
--url https://api.example.com/stats{
"401": {},
"500": {},
"total_nodes": 123,
"total_edges": 123,
"layer_counts": {},
"edge_type_counts": {},
"source_type_counts": {}
}Documentation Index
Fetch the complete documentation index at: https://mintlify.com/timepoint-ai/timepoint-clockchain/llms.txt
Use this file to discover all available pages before exploring further.
GET /stats
X-Service-Key header.
Show Layer structure
"0" - Draft or incomplete nodes"1" - Basic public nodes"2+" - Enhanced nodes with additional metadata{
"0": 1250,
"1": 3400,
"2": 890,
"3": 120
}
Show Edge types
causes - Causal relationships (manually curated)contemporaneous - Temporal proximity relationships (auto-generated)same_location - Geographic co-location relationships (auto-generated)thematic - Shared tag/theme relationships (auto-generated){
"causes": 450,
"contemporaneous": 12500,
"same_location": 3200,
"thematic": 8900
}
Show Source types
historical - Manually curated historical datawikipedia - Imported from Wikipediaflash - User-generated flash timepoints{
"historical": 5600,
"wikipedia": 2300,
"flash": 890
}
curl -X GET "https://api.timepointclockchain.com/stats" \
-H "X-Service-Key: your_service_key"
{
"total_nodes": 8790,
"total_edges": 25050,
"layer_counts": {
"0": 1250,
"1": 5200,
"2": 1890,
"3": 450
},
"edge_type_counts": {
"causes": 450,
"contemporaneous": 15600,
"same_location": 4200,
"thematic": 4800
},
"source_type_counts": {
"historical": 6200,
"wikipedia": 1800,
"flash": 790
}
}
Show Monitoring graph growth
total_nodes and total_edges over time to monitor ingestion pipeline performance and graph expansion.Show Quality assessment
layer_counts to understand the distribution of data quality across the graph. Higher layers indicate more complete and curated data.Show Relationship analysis
edge_type_counts to understand the composition of relationships. A healthy graph should have a mix of manual causal edges and auto-generated contextual edges.Show Source diversity
source_type_counts to ensure diverse data sources and identify gaps in coverage.{
"detail": "Unauthorized"
}
{
"detail": "Internal server error"
}
"historical" if not explicitly set on nodes