Redact sensitive personal information (PII) from text

Deterministically mask sensitive personally identifiable information (PII) in customer conversations and transcripts. ### Redaction Rules - **Language Preservation**: Output stays in the exact same language as input (`language`). - **Structure Preservation**: Preserves speaker turns, punctuation, whitespace, business context, sentiment, and next actions. - **Standardized Placeholders**: - Personal: `[PERSON_NAME]`, `[DATE_OF_BIRTH]`, `[ADDRESS]` - Contact: `[PHONE_NUMBER]`, `[EMAIL]` - Financial & IDs: `[BVN]`, `[ACCOUNT_NUMBER]`, `[CARD_NUMBER]`, `[TRANSACTION_ID]`, `[GOVERNMENT_ID]`, `[CUSTOMER_ID]`, `[EMPLOYEE_ID]`, `[STUDENT_ID]`, `[POLICY_NUMBER]`, `[MEDICAL_ID]` - **Validation**: Every output is verified against an entity placeholder allowlist to ensure zero hallucinated redactions. - **Streaming (SSE)**: Set `stream: true` to receive progressive redaction via Server-Sent Events.

curl -X POST "https://api.orbitalsai.com/api/v1/text/redact" \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{
    "domain": "banking",
    "language": "English",
    "stream": false,
    "text": "Agent: Sannu, yaya zan taimaka maka yau?\nCustomer: Ina so in duba asusuna ne."
  }'

{
  "job_id": 501,
  "missing_ranges": [],
  "model_name": "Perigee-1-text",
  "processing_time": 1.24,
  "result": "string",
  "result_structured": {
    "customer_issue": "Debit card not received after 5 business days.",
    "important_entities": [
      "Debit Card",
      "Express Delivery"
    ],
    "next_action": "Dispatch team tracking number resent via SMS.",
    "resolution_status": "in_progress",
    "sentiment": "neutral",
    "summary": "Customer called regarding a delayed debit card delivery."
  },
  "route": "single_pass",
  "sections": [
    {
      "end": 45.2,
      "failed": false,
      "index": 0,
      "start": 0,
      "summary": "Customer reported transfer failure."
    }
  ],
  "status": "complete",
  "units": {
    "failed": 0,
    "succeeded": 1,
    "total": 1
  },
  "usage": {
    "calls": 1,
    "completion_tokens": 58,
    "cost": 0.0004,
    "prompt_tokens": 142,
    "total_tokens": 200
  }
}