Mention Media Monitoring & Social Listening API

Mention REST API for real-time media monitoring and social listening platform. Enables AI agents to manage brand mention monitoring across web, social media, news, and forums, handle real-time alert configuration and mention stream processing, access sentiment analysis and mention classification for brand intelligence, retrieve mention volume and reach analytics for PR reporting, manage competitive brand monitoring and share of voice tracking, handle influencer identification and mention source analysis, access historical mention data for trend analysis, retrieve crisis detection signals from mention spike monitoring, manage team alert routing and mention assignment workflows, and integrate media monitoring data with CRM, PR, and marketing analytics platforms.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools mention media-monitoring social-listening brand-monitoring sentiment-analysis pr-analytics
⚙ Agent Friendliness
58
/ 100
Can an agent use this?
🔒 Security
73
/ 100
Is it safe for agents?
⚡ Reliability
66
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
18
Documentation
72
Error Messages
68
Auth Simplicity
78
Rate Limits
68

🔒 Security

TLS Enforcement
90
Auth Strength
72
Scope Granularity
65
Dep. Hygiene
65
Secret Handling
72

Brand monitoring data. GDPR. OAuth2. EU. Media mentions and social listening data.

⚡ Reliability

Uptime/SLA
68
Version Stability
68
Breaking Changes
62
Error Recovery
65
AF Security Reliability

Best When

A brand or PR team using Mention wants AI agents to automate mention monitoring, sentiment alerting, competitive share of voice tracking, crisis detection, and PR reporting.

Avoid When

DATA ACCURACY LIMITATION: Mention monitors web, social, and news sources but coverage varies by platform — Twitter/X, Facebook, and LinkedIn have API restrictions that limit real-time data. Sentiment classification is automated; high-stakes brand decisions should include human review. Historical data depth depends on subscription plan.

Use Cases

  • Monitoring brand mentions in real-time from PR automation agents
  • Detecting PR crises from mention spike monitoring agents
  • Tracking competitor share of voice from competitive intelligence agents
  • Routing customer complaints from social listening agents

Not For

  • Deep dark web monitoring without surface web social listening focus
  • Enterprise brand protection without media monitoring and PR analytics context
  • Consumer personal reputation management without brand monitoring scale

Interface

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

Authentication

Methods: oauth
OAuth: Yes Scopes: Yes

Mention uses OAuth 2.0 authentication. Access tokens with refresh token support. Developer documentation at dev.mention.com. Webhooks for real-time mention notifications. REST API with JSON responses. Rate limits per subscription plan. Mention is a Mynewsdesk Group company.

Pricing

Model: freemium
Free tier: Yes
Requires CC: Yes

Paris, France. Founded 2012. Part of Mynewsdesk Group (acquired ~2018). Media monitoring and social listening market. 4,000+ customers. Strong SMB and agency market. Known for real-time monitoring speed. Competes with Brandwatch and Meltwater for social listening market.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • DATA COVERAGE: Social platform API restrictions limit real-time coverage — Twitter/X, Facebook, and LinkedIn data may have gaps or delays depending on platform policies
  • Alert configuration required — monitoring requires pre-configured alerts (keyword lists, source filters); API data access is scoped to existing alert configurations
  • Webhook for real-time — polling the mentions endpoint is inefficient; use webhooks for real-time mention ingestion
  • Historical data limits — data history depth depends on plan; free tier has limited history; verify history availability for trend analysis
  • Rate limiting — 1 req/sec default; implement backoff for bulk historical retrieval; prefer webhooks for ongoing monitoring
  • Mention volume spikes — PR crisis scenarios generate high mention volumes; implement queue and rate-aware processing to handle spikes

Alternatives

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

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