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Schema
Checked 42m ago · Updated 7mo ago
Details
Filter operations
account
8
admin
41
chat
27
chat_templates
1
code
2
connector_catalog
3
connectors
24
dataset
25
documents
4
entity
22
post
Add an entity (or entities) to a dataset given a graph representation of the entity (or entities).
post
Add a batch of entities to a dataset given a list of graph representations of the entities.
post
Add a relationship between two entities in a dataset
post
Use LLM to analyze and automatically merge entities based on sources and properties
delete
Delete an entity manually
post
delete a relationship between two entities in a dataset
post
Derive a new property value based on existing source properties
post
Derive a new property value based on existing source properties for all entities in a table
get
Get entity with a given id
get
/entity/get_local_subgraph
get
Get all historical merges for a given entity
get
/entity/get_source_entities
get
list jobs for a given entity
post
merge an entity manually
post
Search for entities based on the given query
post
Search for entities based on the given query
post
Trigger our merge process for a given entity
post
update an entity manually
post
Add multiple entities to a dataset from a CSV file
post
Add multiple entities to a dataset from a Parquet file with fast batch insert
post
verify a kg against the dataset
get
/entity/view
jobs
6
match
2
Nango
2
project
5
public_sessions
2
sandbox
3
scrape
2
server
1
sessions
17
slack
1
source
3
structure
8
team
13
teams
3
transactions
3
usage
2
user
2
whitelabel
3
wiki
5
workflow
3
workflow_schedule
8
entity
Use LLM to analyze and automatically merge entities based on sources and properties
post
/entity/agent_merge
Request body
AgentMergeParams
required
dataset
string
required
entity_id
string
uuid
required
force_consider_entities
EntityId[]
top_k
integer
Response
LLM merge execution results
AgentMergeResponse
required
final_entity_id
string
uuid
required
merged_entities
EntityId[]
required
reasoning
string
nullable
Changes