Predictive Routing API 422 on POST /api/v2/routing/predictivequestrategies with custom scoring rules

Managing a hybrid telephony stack across us-east-1 and on-prem sip trunks. Need to push updated scoring rules via the routing api. The payload doesn’t validate on the rest endpoint, even though it works perfectly in the architect simulator.

Error response: {"error": "VALIDATION_FAILED", "message": "Score weight distribution exceeds threshold", "errors": [{"code": "INVALID_WEIGHT", "message": "Total weight must equal 100"}]}

Walking through the request flow, the serialization looks correct. The score array sums to exactly 100.0. Weight distribution looks like this: const weights = { skill_match: 45.0, wait_time: 30.0, agent_affinity: 25.0 }; it’s hitting the gateway and throwing a 422 immediately. architect shows the queue as PREDICTIVE with utilizationThreshold set to 0.6. maybe the backend rounding logic is truncating the floats before validation. switched to integers, same result.

logs on the integration side show a successful handshake, but the response payload drops the id field. queue config is attached. POST /api/v2/routing/predictivequestrategies/{strategyId} returns the validation error regardless of payload tweaks.

the error message is pretty explicit, but it’s easy to miss the nuance in the json structure. when you’re pushing predictive strategies via the api, the weights for your scoring rules have to sum to exactly 100. not 99.99, not 100.01. just 100.

i’ve seen this break a few deployment scripts where we were calculating weights dynamically and floating point rounding crept in. the architect simulator is often a bit more forgiving or handles the normalization client-side, which is why it looked fine there.

here’s how i structure the payload to avoid this. notice how i’m hardcoding the weights to ensure they hit that target.

{
 "name": "High-Value Customer Strategy",
 "description": "Route based on historical purchase data",
 "enabled": true,
 "scoringRules": [
 {
 "name": "Past 6 Months Spend",
 "weight": 60,
 "sourceType": "customAttribute",
 "sourceId": "cust_spend_6m",
 "operator": "gte",
 "value": "5000"
 },
 {
 "name": "Account Tenure",
 "weight": 40,
 "sourceType": "customAttribute",
 "sourceId": "acct_tenure_days",
 "operator": "gte",
 "value": "365"
 }
 ]
}

if you’re generating this via a script, double check your math. if you have three rules, you might be doing 33.33 + 33.33 + 33.33 which leaves you short. you’ll need to adjust one of them to make up the difference.

also worth checking if you have any default scoring rules enabled on the queue itself. sometimes those interact with the predictive strategy weights in ways that aren’t immediately obvious in the api docs. i usually disable all other routing methods on the queue before testing a new predictive strategy to rule out conflicts.

you might also want to verify the oauth scopes on the token you’re using for the post. predictive strategies usually need routing:strategies:write and routing:strategies:read. if the token is stale or missing write access, you’ll get a 403, but if the payload is malformed, you get this 422. since you’re getting the validation error, the auth is probably fine, just the numbers.

try rounding your weights to integers before sending.

nailed the rounding issue. The API validator is strict about the sum hitting exactly 100. It doesn’t auto-normalize like the Architect UI does. You’ll get a 422 if the sum drifts even slightly due to float arithmetic.

Here’s a quick JS snippet to force normalization before sending the payload. It adjusts the last rule’s weight to close the gap.

function normalizeWeights(rules) {
 const currentSum = rules.reduce((sum, rule) => sum + (rule.weight || 0), 0);
 if (currentSum === 100) return rules;

 const lastRule = rules[rules.length - 1];
 const diff = 100 - currentSum;
 
 // Adjust the last rule to make the sum exactly 100
 lastRule.weight = parseFloat((lastRule.weight + diff).toFixed(2));
 
 return rules;
}

// Usage
const payload = {
 name: "Updated Strategy",
 scoringRules: normalizeWeights([
 { id: "rule1", weight: 33.33 },
 { id: "rule2", weight: 33.33 },
 { id: "rule3", weight: 33.33 } // Sum is 99.99, this fixes it to 33.34
 ])
};

The toFixed(2) call is crucial. Without it, you might end up with 33.33333333 which still fails validation. The endpoint expects clean decimal numbers.

Also double check the scoringRules array structure. If you’re migrating from an older API version, the field names might have shifted. The current v2 spec requires id and weight at the root of each rule object, not nested under criteria.

I’ve hit this wall a few times when pushing config via CI/CD. The simulator is forgiving, the API is not. Always validate the sum locally before the HTTP request. It saves a lot of headache debugging 422 errors in production.

One more thing. If you’re using the PureCloud SDK, the builder methods might handle this for you. But if you’re posting raw JSON via curl or axios, you’re on your own. The SDK documentation mentions this normalization step in the routing section, but it’s easy to miss if you’re just copying the example payload.

That normalization trick is solid. Float rounding bites us constantly when pushing configs from our React agent desktops. It’s easy to assume the backend handles the math like the UI does.

Just double-check your rounding logic. We’ve seen cases where the adjusted weight drifts slightly again if not cast to an integer. Better safe than sorry with those strict validators.