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ESGPulse ESG Score Intelligence
x402
ESGPulse ESG Score Intelligence is a paid API for AI agents from esgpulse.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).
Explains ESG scoring methodologies from MSCI, Sustainalytics, ISS, and Bloomberg, and analyzes how rating agencies diverge and what drives score changes.
Price / call$0.1
Success—
StatusUnknown
How this service works
ESGPulse delivers real-time ESG intelligence: CSRD compliance roadmaps, EU Taxonomy alignment checks, supply chain due diligence, emissions analysis, greenwashing risk, and more. x402 micropayment API.
Output
Returns a structured explanation of ESG scoring methodologies used by major rating agencies (MSCI, Sustainalytics, ISS, Bloomberg), highlights where and why these raters diverge on scores, and identifies the key factors that drive ESG score changes for a given company or in general.
Example use cases
Reconcile conflicting ESG ratings for portfolio companies
“Our fund just noticed that one of our holdings got downgraded by Sustainalytics but upgraded by MSCI in the same quarter. Can you break down what each agency is actually measuring and why they're moving in opposite directions?”
Understand ESG score methodology for client reporting
“I need to explain to our clients why we focus on MSCI ESG scores instead of Bloomberg or ISS. Can you walk through how each of the major agencies calculates their scores so I can justify our methodology choice?”
Track drivers of ESG score volatility
“One of our portfolio companies had a big swing in their ISS ESG score last month. Can you help me understand what factors are most important to ISS's methodology and what might have triggered that change?”
Technical details
Endpoint
GEThttps://esgpulse.vercel.app/api/esg/scoreWhen to prefer
Use this endpoint when you need to understand ESG rating methodology differences across MSCI, Sustainalytics, ISS, and Bloomberg, or want to explain divergence in scores for a specific company. Prefer this over generic ESG data endpoints when the user's question is about how scores are calculated or why agencies disagree, rather than raw score lookup.
Side effects
- Unknown or unsupported company ticker returns no data
- Rating agency not supported returns an error or empty response
- Ambiguous company name without ticker may return incorrect match
- Stale methodology data if agency updates scoring model without API refresh
- HTTP 402 payment required if USDC payment is not attached to request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"company": "Tesla",
"msci_rating": "BBB",
"iss_governance_score": 2,
"rater_divergence_reason": "MSCI weights product safety differently from Sustainalytics; Tesla governance concerns drive ISS score down",
"score_improvement_levers": [
"Board diversity",
"Supply chain human rights audit",
"Water disclosure"
],
"sustainalytics_risk_score": 28.4,
"sustainalytics_risk_category": "Medium"
}
}Tags
x402
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