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Seekr Agents API

The Agents API from Seekr — 9 operation(s) for agents.

Seekr Agents API is one of 35 APIs that Seekr publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Agents. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, and authentication docs.

This API exposes 11 operations across 9 paths, and defines 32 schemas. It is described by OpenAPI 3.2.0, at version 1.0.

Requests are made against a single base URL, https://flow.seekr.com.

11 operations 9 paths 32 schemas 1 DELETE3 GET3 PATCH1 POST3 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0
Base URL
https://flow.seekr.com/v1
Authentication
API Key
Terms of Service
Resource Areas
1

Authentication & Security 1

Seekr Agents API declares 1 security scheme for authenticating requests. An API key is passed in the header as Authorization (APIKeyHeader).

  • APIKeyHeader — Your Seekr API key, sent in the Authorization header with no 'Bearer' prefix.

Paths & Operations 11

Across 9 paths, the API surfaces 11 operations — 1 DELETE, 3 GET, 3 PATCH, 1 POST, 3 PUT. Each is listed below with its method, path, parameters, and response codes.

Agents 11
GET
/v1/internal/agents
List Registered Agents Endpoint
list_registered_agents_endpoint_v1_internal_agents_get → 200
GET
/v2/flow/agents/
List Agents
list_agents_v2_flow_agents__get → 200
GET
/v2/flow/agents/{agent_id}
Get Agent By Id
get_agent_by_id_v2_flow_agents__agent_id__get 1 param → 200422
PATCH
/v2/flow/agents/{agent_id}
Patch
patch_v2_flow_agents__agent_id__patch 1 param body → 200422
DELETE
/v2/flow/agents/{agent_id}
Delete
delete_v2_flow_agents__agent_id__delete 1 param → 200422
POST
/v2/flow/agents/create
Create
create_v2_flow_agents_create_post body → 201422
PUT
/v2/flow/agents/{agent_id}/updatedeprecated
Update
update_v2_flow_agents__agent_id__update_put 1 param body → 200422
PUT
/v2/flow/agents/{agent_id}/promote
Promote
promote_v2_flow_agents__agent_id__promote_put 1 param → 200422
PUT
/v2/flow/agents/{agent_id}/demote
Demote
demote_v2_flow_agents__agent_id__demote_put 1 param → 200422
PATCH
/v2/flow/agents/{agent_id}/diff
Diff
diff_v2_flow_agents__agent_id__diff_patch 1 param body → 200422
PATCH
/v2/flow/internal/agents/{agent_id}/update-status
Update Status
update_status_v2_flow_internal_agents__agent_id__update_status_patch 1 param body → 200422

Schemas 32

The contract defines 32 schemas that model the data the API accepts and returns. The most detailed are AgentSchemaV2 (18 properties), CreateAgentRequest (10 properties), UpdateAgentRequest (10 properties), PatchAgentRequest (9 properties). Each schema is shown below with its type and property counts.

WebSearchEnv
object
1 property
ReasoningEffort
string
Controls how much reasoning the agent uses when working through a request. Accepts low, medium, or high, where higher levels produce more thorough reasoning. T…
RegisteredAgent
object
A registered agent currently known by agents-router.
6 properties 6 required
AgentAsToolConfig
object
1 property 1 required
llm_training__agents__tools__schemas__run_python__CreateRunPython
object
2 properties 2 required
llm_training__agents__tools__schemas__file_search__CreateFileSearch
object
2 properties 2 required
AgentOutputConfig
object
4 properties
UpdateAgentRequest
object
10 properties 2 required
llm_training__agents__tools__standalone__schemas__RunPython
object
Configuration for the run Python tool, which lets the agent execute developer-defined Python functions.
5 properties 2 required
MCPConnectorToolResponseConfig
object
3 properties 1 required
AgentOutputFrequency
string
HTTPValidationError
object
1 property
llm_training__agents__tools__standalone__schemas__AgentAsTool
object
Configuration for an agent-as-tool, which delegates subtasks to another agent and returns the result to the supervisor.
5 properties 3 required
AgentStatus_2
string
llm_training__agents__tools__standalone__schemas__MCPConnectorTool
object
Configuration for the MCP connector tool, which connects the agent to external MCP providers through a secure gateway with OAuth-based authentication.
5 properties 3 required
llm_training__agents__tools__standalone__schemas__WebSearch
object
Configuration for the web search tool: real-time information retrieval from web sources.
4 properties 2 required
CreateAgentRequest
object
10 properties 2 required
AgentDeleteResponse
object
2 properties 2 required
RunPythonConfig
object
1 property
PatchAgentResponseV2
object
3 properties 2 required
PatchAgentRequest
object
9 properties
AgentSchemaV2
object
18 properties 9 required
ValidationError
object
5 properties 3 required
FileSearchConfig
object
4 properties 1 required
AgentStatus
string
Available statuses for an agent.
llm_training__agents__tools__schemas__web_search__CreateWebSearch
object
2 properties 2 required
AgentUpdateStatusResponseV2
object
6 properties 6 required
AgentUpdateStatusRequest
object
1 property 1 required
RunPythonEnv
object
2 properties
FileSearchEnv
object
5 properties 2 required
llm_training__agents__tools__standalone__schemas__FileSearch
object
Configuration for the file search tool: semantic search and retrieval across the agent's vector databases.
5 properties 3 required
GetAgentsResponseV2
object
Agents API response type
1 property 1 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

seekr-agents-api-openapi.yml Raw ↑

Other APIs Seekr publishes across the network.

Seekr Documentation MCP Server
Seekr Agents v1 - legacy API
Seekr Alignment API
Seekr Batches API
Seekr Data jobs API
Seekr Deployments API
Seekr Engines API
Seekr Evals API
Seekr Explainability API
Seekr Feedback API
Seekr Files API
Seekr Fine Tuning API
Where this information came from

This is an independent, third-party profile of Seekr Agents API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

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