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The Chemolytic API exposes every active deployment as two prediction endpoints. Use them to integrate predictions into your LIMS, lab automation, or custom scripts.
API predictions require the allow_api_predict plan feature. Free plans don’t include API access. Upgrade to Pro or higher to enable it.

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Endpoints

Both endpoints live under the deployment URL:
EndpointPurpose
POST /api/.../deployments/{id}/predict/Submit JSON-encoded spectra
POST /api/.../deployments/{id}/predict/file/Upload raw CSV files
The full URL appears on the Integration tab of the deployment detail page.

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Authentication

All requests need an API key in the Authorization header: 
Authorization: Api-Key sk_<your-key>
See API keys for how to create one.

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JSON endpoint

Use this when you can pre-parse spectra into arrays of numbers (e.g., from your own data pipeline).

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Request

POST /api/organizations/{slug}/projects/{id}/deployments/{id}/predict/
Authorization: Api-Key sk_xxxxxxxxxxxx
Content-Type: application/json

{
  "spectra": [
    {
      "sample_name": "sample_001",
      "y_values": [0.45, 0.52, 0.48, 0.51, 0.47, ...]
    },
    {
      "sample_name": "sample_002",
      "y_values": [0.42, 0.49, 0.46, 0.50, 0.45, ...]
    }
  ]
}
FieldTypeRequiredNotes
spectraarrayYesList of spectrum objects
spectra[].sample_namestringYesIdentifier returned with the prediction
spectra[].y_valuesarray of numbersYesOne value per x-axis point. Length must match the model’s input size.

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Response (200 OK)

{
  "predictions": [
    { "sample_name": "sample_001", "value": 12.34 },
    { "sample_name": "sample_002", "value": 11.87 }
  ],
  "model": {
    "id": 42,
    "name": "Brix Predictor",
    "version": 3,
    "target_property": "brix"
  }
}
For classification models, value is the predicted category as a string.

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File endpoint

Use this when you have raw files exported by your spectrometer and don’t want to parse them yourself.

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Request

POST /api/organizations/{slug}/projects/{id}/deployments/{id}/predict/file/
Authorization: Api-Key sk_xxxxxxxxxxxx
Content-Type: multipart/form-data
Form fields:
FieldTypeRequiredNotes
filefileYesOne or more CSV files. Repeat the field to send multiple.
sensor_idintegerYesThe sensor that produced these files

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Response

Identical to the JSON endpoint.

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Code samples

The Integration tab on the deployment detail page generates ready-to-use snippets. Examples:

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Python

import requests

ENDPOINT = "https://api.chemolytic.com/api/organizations/your-org/projects/12/deployments/7/predict/"
API_KEY = "sk_xxxxxxxxxxxx"

response = requests.post(
    ENDPOINT,
    headers={"Authorization": f"Api-Key {API_KEY}"},
    json={
        "spectra": [
            {"sample_name": "sample_001", "y_values": [0.45, 0.52, 0.48, ...]}
        ]
    },
)
response.raise_for_status()
print(response.json())

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JavaScript

const response = await fetch(ENDPOINT, {
  method: "POST",
  headers: {
    "Authorization": `Api-Key ${API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    spectra: [
      { sample_name: "sample_001", y_values: [0.45, 0.52, 0.48] }
    ],
  }),
});
const data = await response.json();

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cURL (JSON)

curl -X POST "$ENDPOINT" \
  -H "Authorization: Api-Key $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"spectra":[{"sample_name":"sample_001","y_values":[0.45,0.52,0.48]}]}'

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cURL (file upload)

curl -X POST "$ENDPOINT/file/" \
  -H "Authorization: Api-Key $API_KEY" \
  -F "file=@sample_001.csv" \
  -F "file=@sample_002.csv" \
  -F "sensor_id=14"

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Limits

LimitValue
Max spectra per requestCapped server-side; exceeding returns 400 Bad Request
Per-month quotamax_api_predictions_month (plan-based)
Request timeout30 seconds
For very large batches, split your spectra across multiple requests.

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Errors

CodeWhen it happens
400 Bad RequestMissing fields, invalid input, point count mismatch, NaN/Inf values, too many spectra
403 ForbiddenAPI key doesn’t belong to this project, or not authorized for this deployment
429 Too Many RequestsMonthly limit exceeded. Body shows {"limit", "used", "requested", "remaining"}
504 Gateway TimeoutPrediction took longer than 30 seconds. Reduce batch size and retry.
500 Internal Server ErrorModel prediction error. Contact support@chemolytic.com with the deployment ID.

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Example 400 errors

{ "detail": "Spectrum 'sample_001' has 500 points, expected 512." }
{ "detail": "Spectrum 'sample_001' contains NaN or Inf values." }
{ "detail": "Too many spectra (100). Maximum is 50." }
{ "detail": "Deployment is not active." }
{ "detail": "Model not ready (status=building)." }

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Example 429 error

{
  "detail": "Monthly prediction limit exceeded.",
  "limit": 1000,
  "used": 950,
  "requested": 60,
  "remaining": 0
}

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Logging and usage

Every API prediction is:
  • Recorded in PredictionLog with the API key, sample count, and timestamp (90-day retention)
  • Aggregated daily in PredictionUsage for quick quota lookups (kept permanently)
You can see your aggregated usage on the deployment detail page under API predictions this month.

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Tips

Batch predictions: send 10-50 spectra per request rather than one at a time. Fewer round-trips, lower latency, less quota waste.
Cache the endpoint URL and API key in environment variables: don’t hard-code them in your scripts. Treat the API key like a password.
Handle 429 gracefully: check remaining in the response and pause until the quota resets if needed.