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Market Intelligence API – Weighted Composite Score
x402
Market Intelligence API – Weighted Composite Score is a paid API for AI agents from api.marketintelligenceapi.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Combines multiple factor scores (e.g. momentum, fundamentals, risk) into a single 0–100 composite score using weighted-mean aggregation, with full transparency on normalized weights and per-factor contributions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Use to combine factor scores into one composite ($0.01), e.g. momentum, fundamentals and risk: send factors {name, score, weight}; get the 0-100 score with each factor's normalised weight and contribution. Weights need not sum to 1. Transparent and reproducible, no data fetched.
Output
Returns a JSON object containing the composite weighted-mean score (0–100 by default, or custom range), the method used (WEIGHTED_MEAN), the number of input factors, and a components array detailing each factor's name, original score, weight, normalized weight, and numeric contribution to the final score. Also includes total weight and whether weights were normalized.
Example use cases
Multi-factor stock ranking score
“I have three signals for a stock — momentum at 78 with weight 2, quality at 65 with weight 3, and value at 55 with weight 1. Can you blend those into a single composite score on a 0–100 scale and show me how much each factor contributed?”
Crypto asset composite rating
“Blend these crypto signals into one score: on-chain activity scored 90 with weight 0.5, social sentiment scored 60 with weight 0.3, and liquidity scored 75 with weight 0.2. I want the weighted composite and each factor's normalized contribution.”
Portfolio risk-adjusted composite
“I want to combine a fundamentals score of 70 (weight 40), a momentum score of 85 (weight 30), and a risk score of 55 (weight 30) into a single 0–100 composite — can you run the weighted aggregation and show me the breakdown?”
Technical details
Endpoint
POSThttps://api.marketintelligenceapi.com/api/v1/analytics/weighted-score?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a transparent, reproducible weighted composite score from multiple pre-computed factor scores — especially when weights don't need to sum to 1 and you want per-factor contribution breakdowns. It performs no data fetching, so it is ideal as a pure aggregation step after you have already gathered individual factor scores from other sources. Prefer this over manual weighted averaging when you need structured, auditable output with normalized weights.
Side effects
- Missing required 'score' field on any factor returns a validation error
- Providing an empty factors array (violates minItems:1) returns a 400 error
- Score value outside the specified scoreMin/scoreMax range may cause validation rejection
- Malformed JSON body returns a 400 parse error
- Payment failure (insufficient USDC balance) returns a 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| factors | array | The factors: each a score with an optional name and weight |
| scoreMax | number | Highest allowed score (default 100) |
| scoreMin | number | Lowest allowed score (default 0) |
Output
Schema · Response
{
"type": "json",
"example": {
"score": 73.1,
"method": "WEIGHTED_MEAN",
"result": 73.1,
"factors": 3,
"operation": "weighted-score",
"components": [
{
"name": "momentum",
"score": 82,
"weight": 0.3,
"contribution": 24.6,
"normalizedWeight": 0.3
},
{
"name": "fundamentals",
"score": 74,
"weight": 0.4,
"contribution": 29.6,
"normalizedWeight": 0.4
},
{
"name": "risk",
"score": 63,
"weight": 0.3,
"contribution": 18.9,
"normalizedWeight": 0.3
}
],
"scoreRange": {
"max": 100,
"min": 0
},
"totalWeight": 1,
"weightsNormalized": false
}
}Tags
x402
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