RepRisk ESG Risk Data and Business Intelligence REST API

RepRisk ESG risk data and business intelligence REST API for banks, asset managers, insurance companies, and corporates to access ESG and business conduct risk assessments, real-time controversy monitoring, regulatory risk exposure, and company ESG risk ratings — enabling automated ESG due diligence, counterparty risk monitoring, and sustainable finance compliance through RepRisk's AI-powered ESG data platform covering 250,000+ public and private companies across 60+ risk factors. Enables AI agents to manage company risk score for RepRisk Index (RRI) ESG risk rating automation, handle controversy monitoring for real-time ESG incident detection automation, access project risk for infrastructure and extractive industry site-level ESG automation, retrieve country risk for jurisdiction-level ESG regulatory risk automation, manage sector risk for industry ESG exposure assessment automation, handle incidents for specific ESG event detail retrieval automation, access trend analysis for company ESG trajectory monitoring automation, retrieve export for bulk ESG data delivery automation, manage screening for portfolio ESG scan automation, and integrate RepRisk with investment management, credit risk, and sustainable finance platforms for ESG risk intelligence automation.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Other reprisk ESG-risk ESG-screening business-conduct-risk controversy-monitoring responsible-investment
⚙ Agent Friendliness
54
/ 100
Can an agent use this?
🔒 Security
74
/ 100
Is it safe for agents?
⚡ Reliability
66
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
10
Documentation
72
Error Messages
68
Auth Simplicity
70
Rate Limits
62

🔒 Security

TLS Enforcement
97
Auth Strength
72
Scope Granularity
62
Dep. Hygiene
68
Secret Handling
72

ESG controversy monitoring. GDPR, SFDR. API key + OAuth2. CH/EU. Company ESG risk and incident data.

⚡ Reliability

Uptime/SLA
64
Version Stability
70
Breaking Changes
64
Error Recovery
66
AF Security Reliability

Best When

A bank, asset manager, insurance company, or corporate wanting AI agents to access AI-powered ESG controversy monitoring, RepRisk Index scores, project-level ESG risk, and real-time ESG incident detection through RepRisk's 250,000+ company ESG risk intelligence platform.

Avoid When

ENTERPRISE DATA LICENSE REQUIRED: RepRisk data requires institutional data licensing agreement; automated open access assumption creates no endpoint access; automated must establish RepRisk enterprise data license. REPRISK IS RISK-FOCUSED NOT POSITIVE: RepRisk focuses exclusively on ESG risks and controversies, not positive ESG initiatives; automated balanced ESG picture assumption creates risk-only view; automated must supplement RepRisk with positive ESG data for balanced assessment. DATA IS THIRD-PARTY SOURCED: RepRisk uses 100,000+ media, NGO, and regulatory sources; automated self-reported data assumption misunderstands RepRisk methodology; automated must understand RepRisk's media-based intelligence approach. COVERAGE INCLUDES PRIVATE COMPANIES: RepRisk covers public and private companies; automated public-only database assumption creates unexpected private company coverage; automated must handle private company data with appropriate data governance.

Use Cases

  • Monitoring counterparty ESG controversies for bank credit risk and lending decision automation agents
  • Screening investment portfolios for ESG risk exposure for responsible investment fund automation agents
  • Assessing project-level ESG risk for infrastructure finance and impact investment automation agents
  • Tracking ESG incident trends for corporate supplier due diligence and risk management automation agents

Not For

  • Self-reported ESG data (RepRisk uses third-party and public sources, not company self-reporting)
  • Positive ESG achievement recognition (RepRisk focuses on ESG risk and controversy, not positive impact ratings)
  • Real-time financial market data (RepRisk is ESG research data, not trading or market data)

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: apikey oauth2
OAuth: Yes Scopes: Yes

RepRisk uses API key + OAuth2 for ESG data REST API. REST API with JSON. Zurich, Switzerland HQ. Founded 1998 by Alexandra Mihailescu Cichon and Philipp Aeby. Products: RepRisk Index (RRI), company screening, project risk, country risk, sector risk, controversy incidents, ESG trend analytics. SDKs: None public. 250,000+ companies. 60+ ESG risk factors. 100,000+ daily sources in 20 languages. AI-powered screening. Competes with Sustainalytics for ESG controversy data.

Pricing

Model: subscription
Free tier: No
Requires CC: No

Zurich CH. Privately held. Annual licensing. 250,000+ companies. AI ESG controversy monitoring.

Agent Metadata

Pagination
cursor
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • RRI SCORE UPDATES DAILY: RepRisk Index scores are updated daily based on new incidents; automated point-in-time-stable assumption creates score_change between requests; automated must track RRI score history and handle daily updates in portfolio monitoring workflows
  • IDENTIFIER MATCHING REQUIRES REPRISK ID: RepRisk uses internal RepRisk company IDs; automated ISIN/ticker direct lookup assumption creates identifier_mapping_required; automated must map ISIN, LEI, or company name to RepRisk ID first
  • INCIDENT LANGUAGE IS MULTI-LINGUAL: RepRisk sources 20 languages; automated English-only incident assumption creates missed incidents from non-English news sources; automated must handle multi-lingual incident data
  • PROJECT RISK IS LOCATION-BASED: Project-level ESG risk uses geographic location; automated company-only ESG assumption misses site-specific project risks for extractive industries; automated must use project risk endpoint for infrastructure and mining investments
  • PEAK SCORES RETAIN HISTORY: RepRisk tracks both current and peak RRI scores; automated current-score-only assumption creates missed historical controversy context; automated must retrieve both current and peak scores for complete ESG risk picture

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Scores are editorial opinions as of 2026-03-07.

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