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Extract Session Pdf

POST
/org/sessions/{session_id}/extract
curl --request POST \
  --url https://engine.bindly.insure/org/sessions/example/extract \
  --header 'Content-Type: multipart/form-data' \
  --form file=@file

Pre-fill the session from an existing document (prior ACORD, dec page, application), the REST twin of the MCP extract_from_pdf tool. Extracted values merge into the session so the intake only asks for the gaps.

Parameters

Section titled “Parameters”

Path Parameters

Section titled “Path Parameters”
session_id
required
Session Id
string

Request Bodyrequired

Section titled “Request Bodyrequired”
Media typemultipart/form-data
Body_extract_session_pdf_org_sessions__session_id__extract_post
object
file
required
File

The PDF to extract (max 20 MB).

string format: binary

Responses

Section titled “Responses”

200

Section titled “200”

Successful Response

Media typeapplication/json
ExtractSessionResponse
object
extracted_count
required
Extracted Count
integer
fields
required
Fields
object
key
additional properties
any
confidence
Any of:
number
notes
Notes
Array<string>
Examplegenerated
{
  "extracted_count": 1,
  "fields": {},
  "confidence": 1,
  "notes": [
    "example"
  ]
}

422

Section titled “422”

Validation Error

Media typeapplication/json
HTTPValidationError
object
detail
Detail
Array<object>
ValidationError
object
loc
required
Location
Array
msg
required
Message
string
type
required
Error Type
string
Examplegenerated
{
  "detail": [
    {
      "loc": [
        "example"
      ],
      "msg": "example",
      "type": "example"
    }
  ]
}