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Deload Plan API

Return whether a deload is needed, how much volume to reduce, and what deload structure to follow.

Endpoint

  • GET /api/v1/fitness/deload-plan
  • POST /api/v1/fitness/deload-plan/post

Parameters

Name Type Required In Description
weeks_trained integer (1-104) Yes Query/Body Continuous training weeks in block.
intensity_level string Yes Query/Body low,moderate,high,very_high,maximal.
accumulated_fatigue_score integer (1-10) Yes Query/Body Subjective or model-driven fatigue score.
lang string No Query Response language (en,es,de,fr,pt,ja,hi,ar).

Why Use This Endpoint

  • Standardize deload decision logic across teams.
  • Prevent overreaching and injury via proactive load control.
  • Operationalize periodization rules in coaching apps.

Get Started

Request Example

curl -X GET "https://api.hefitapi.com/api/v1/fitness/deload-plan?weeks_trained=9&intensity_level=very_high&accumulated_fatigue_score=8&lang=en" \
  -H "X-API-Key: YOUR_API_KEY"

curl -X POST "https://api.hefitapi.com/api/v1/fitness/deload-plan/post?lang=en" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{"weeks_trained":9,"intensity_level":"very_high","accumulated_fatigue_score":8}'

Response Example

Info

The response example below is for demonstration purposes only. Make a live request to this endpoint to receive the full, real-time, and potentially richer JSON structure.

{
  "weeks_trained": 9,
  "intensity_level": "very_high",
  "intensity_level_label": "Very High",
  "accumulated_fatigue_score": 8,
  "deload_trigger_logic": {
    "trigger_score": 13,
    "trigger_level": "urgent",
    "trigger_level_label": "Urgent",
    "should_deload": true,
    "recommendation": "Immediate deload recommended."
  },
  "volume_reduction_percentage": {
    "suggested_percent": 45,
    "range_percent": {
      "min": 35,
      "max": 50
    },
    "band": "reset",
    "band_label": "Reset",
    "logic": "Severe fatigue state requires deep unload."
  },
  "sample_structure": ["3 low-volume sessions", "Mobility and recovery emphasis"],
  "intensity_adjustment": {
    "resistance_training": "Reduce load and RPE",
    "conditioning": "Zone 2 only"
  },
  "recovery_focus_priorities": ["Sleep extension", "Stress management"],
  "next_review_window_days": 14,
  "confidence_score": 91,
  "summary": "Deload now to protect adaptation quality.",
  "language": "en",
  "_enterprise": {
    "client": "Acme Health",
    "plan": "pro",
    "request_id": "2d0b4d0108f9eaf8",
    "quota": 120,
    "usage_tracking": true
  },
  "_api_metadata_": {
    "endpoint_name": "fitness_deload_plan",
    "response_language": "en"
  }
}

Market Positioning

Excellent for strength coaching SaaS and performance platforms that need reliable fatigue-management automation.

Note

intensity_level is normalized internally (very high or very-high becomes very_high).