---
updatedAt: 2026-06-16T20:13:34.000Z
agentTools:
  projectIndex: https://developer.breezy.hr/llms.txt
---

# /company/{id}/position/{id}/candidates

Returns the candidates on a given position within a company, as an array of candidate summaries (id, name, contact info, stage, source, score, resume link, etc.). Pass `stage_id` to restrict the result to one pipeline stage.

By default all candidates on the position are returned in a single unpaged response. Supplying `page_size` switches to paged mode: `page_size` is capped at 50 regardless of the value requested, `page` is 1-based (`page=1` is the first page; `page=0` also returns the first page), and `sort` defaults to `updated`.

# OpenAPI definition

````json
{
  "openapi": "3.1.0",
  "info": {
    "title": "Breezy HR Public API",
    "version": "3",
    "description": "The Breezy HR public API (v3) provides programmatic access to your recruiting data.\nAll endpoints are relative to `https://api.breezy.hr/v3`.\n\n## Authentication\n\nPass a **Personal Access Token (PAT)** in the `Authorization` header:\n```\nAuthorization: Bearer breezy_pat_<token>\n```\n\nAlternatively, call `POST /v3/signin` with email and password to receive a session\n`access_token`, then pass it the same way.\n\nBoth header forms are accepted for PATs and session tokens: `Authorization: Bearer <token>`\nand the bare `Authorization: <token>`. The `Bearer` scheme is matched case-insensitively.\n\n## IDs\n\nAll resource IDs are 12–14 character lowercase hex strings (e.g. `a3f9c1d2e4b5`).\nEU-region resources use 14-character IDs ending in `01`.\n\n## Dates\n\nAll date/timestamp fields are ISO 8601 strings.\n\n## Errors\n\nAll error responses use the shape:\n```json\n{ \"error\": { \"type\": \"string\", \"message\": \"string\" } }\n```\n\nEvery `/company/{companyId}/...` endpoint returns `403` with type `companyMembershipRequired`\nwhen the authenticated user is not a member of that company, for example after the user who\ncreated the token was removed from the account.\n"
  },
  "servers": [
    {
      "url": "https://api.breezy.hr/v3",
      "description": "Production"
    }
  ],
  "security": [
    {
      "TokenAuth": []
    }
  ],
  "tags": [
    {
      "name": "Candidates",
      "description": "Candidate management and all sub-resources"
    }
  ],
  "components": {
    "securitySchemes": {
      "TokenAuth": {
        "type": "apiKey",
        "in": "header",
        "name": "Authorization",
        "description": "Personal Access Token (PAT) or session token from POST /v3/signin, passed in the Authorization header either bare or with a Bearer prefix (both forms are accepted). Declared as apiKey rather than http/bearer so that tools do not force the prefix - the bare form is equally valid."
      }
    },
    "schemas": {
      "StageType": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "icon": {
            "type": "string"
          }
        }
      },
      "Stage": {
        "type": "object",
        "properties": {
          "id": {
            "oneOf": [
              {
                "type": "string"
              },
              {
                "type": "integer"
              }
            ],
            "description": "Built-in stages have string ids such as `applied`; custom stages have numeric ids."
          },
          "name": {
            "type": "string"
          },
          "type": {
            "$ref": "#/components/schemas/StageType"
          }
        }
      },
      "Source": {
        "type": "object",
        "nullable": true,
        "properties": {
          "id": {
            "type": "string"
          },
          "name": {
            "type": "string"
          }
        }
      },
      "OverallScore": {
        "type": "object",
        "properties": {
          "very_good": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "good": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "neutral": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "poor": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "very_poor": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "scored_count": {
            "type": "integer"
          },
          "average_score": {
            "type": "number",
            "nullable": true
          },
          "score": {
            "type": "number",
            "nullable": true
          }
        }
      },
      "Resume": {
        "type": "object",
        "nullable": true,
        "properties": {
          "file_name": {
            "type": "string"
          },
          "file_size": {
            "type": "integer"
          },
          "url": {
            "type": "string"
          },
          "content_type": {
            "type": "string"
          }
        }
      },
      "AiScore": {
        "description": "The candidate's latest AI score (Applicant Insight). Absent when the candidate has never been scored.",
        "type": "object",
        "properties": {
          "status": {
            "type": "string",
            "enum": [
              "pending",
              "processing",
              "completed",
              "failed"
            ]
          },
          "score": {
            "type": "number",
            "minimum": 0,
            "maximum": 10,
            "description": "Overall score from 0 to 10. Present when `status` is `completed`."
          },
          "recommendation": {
            "type": "string",
            "description": "The AI recommendation for the candidate. Present when `status` is `completed`."
          },
          "completed_at": {
            "type": "string",
            "format": "date-time",
            "description": "When scoring completed. Present when `status` is `completed`."
          },
          "reason_code": {
            "type": "string",
            "description": "Why scoring failed, when known. Present only when `status` is `failed`; for example `insufficient_credits` when the company has run out of AI credits."
          }
        }
      },
      "ListCandidate": {
        "description": "Abbreviated candidate shape returned in list responses.",
        "type": "object",
        "properties": {
          "_id": {
            "type": "string"
          },
          "meta_id": {
            "type": "string"
          },
          "assigned_to": {
            "nullable": true
          },
          "creation_date": {
            "type": "string"
          },
          "email_address": {
            "type": "string",
            "nullable": true
          },
          "headline": {
            "type": "string",
            "nullable": true
          },
          "initial": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "origin": {
            "type": "string"
          },
          "phone_number": {
            "type": "string",
            "nullable": true
          },
          "profile_photo_url": {
            "type": "string",
            "nullable": true
          },
          "resume": {
            "$ref": "#/components/schemas/Resume"
          },
          "source": {
            "$ref": "#/components/schemas/Source"
          },
          "stage": {
            "$ref": "#/components/schemas/Stage"
          },
          "tags": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "disposition_date": {
            "type": "string",
            "nullable": true
          },
          "disposition_reason": {
            "nullable": true
          },
          "disposition_reasons": {
            "nullable": true
          },
          "overall_score": {
            "$ref": "#/components/schemas/OverallScore"
          },
          "updated_date": {
            "type": "string"
          },
          "bias_status": {
            "type": "string",
            "nullable": true
          },
          "ai_score": {
            "$ref": "#/components/schemas/AiScore"
          }
        }
      }
    }
  },
  "paths": {
    "/company/{companyId}/position/{positionId}/candidates": {
      "get": {
        "operationId": "listCandidates",
        "summary": "/company/{id}/position/{id}/candidates",
        "tags": [
          "Candidates"
        ],
        "parameters": [
          {
            "name": "companyId",
            "in": "path",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "positionId",
            "in": "path",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "page_size",
            "in": "query",
            "description": "Number of candidates per page, capped at 50. Omit `page_size` to receive the full unpaged list.",
            "schema": {
              "type": "integer",
              "maximum": 50
            }
          },
          {
            "name": "page",
            "in": "query",
            "description": "Page number, only used when `page_size` is set. Paging is effectively 1-based - `page=1` returns the first page and `page=2` the second. `page=0` (and an omitted `page`) also returns the first page, so a client that counts from 0 receives the first page twice. This offset is long-standing behavior and is preserved for backward compatibility.",
            "schema": {
              "type": "integer",
              "default": 1
            }
          },
          {
            "name": "sort",
            "in": "query",
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "stage_id",
            "in": "query",
            "description": "Optional. Only return candidates currently in this pipeline stage. Use the stage `id` values from `GET /company/{companyId}/pipeline/{pipelineId}` - built-in stages are strings such as `applied`, custom stages are numeric ids. Works with and without `page_size`. An unknown stage id returns an empty list; a value that is not a plain token of letters, digits, `_` or `-` returns 400.",
            "schema": {
              "type": "string",
              "pattern": "^[A-Za-z0-9_-]{1,64}$",
              "maxLength": 64
            }
          }
        ],
        "description": "Returns the candidates on a given position within a company, as an array of candidate summaries (id, name, contact info, stage, source, score, resume link, etc.). Pass `stage_id` to restrict the result to one pipeline stage.\n\nBy default all candidates on the position are returned in a single unpaged response. Supplying `page_size` switches to paged mode: `page_size` is capped at 50 regardless of the value requested, `page` is 1-based (`page=1` is the first page; `page=0` also returns the first page), and `sort` defaults to `updated`.",
        "responses": {
          "200": {
            "description": "List of candidates",
            "content": {
              "application/json": {
                "schema": {
                  "type": "array",
                  "items": {
                    "$ref": "#/components/schemas/ListCandidate"
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}
````