Determ vs Xpoz in 2026: European PR monitoring vs on-demand social queries through Claude
One indexes 100 million-plus news and broadcast sources with published euro pricing. The other lets you query 1.5 billion-plus social posts in plain English, including directly from Claude or Cursor.
Determ
Xpoz- Determ indexes 100 million-plus news, print, and broadcast sources. Xpoz covers four social platforms, Twitter, Instagram, TikTok, and Reddit, with no news or broadcast monitoring at all.
- Xpoz ships an MCP server on every plan, including Free, letting you query social data directly from Claude or Cursor. Determ has no comparable AI-environment integration.
- Xpoz has a Free tier with 2,500 credits to test coverage before paying anything. Determ has no free tier, though it typically offers a trial period.
- Determ includes threshold-based crisis alerts and dedicated share-of-voice charts. Xpoz is built for on-demand queries and does not have persistent real-time alerting in the same sense as dedicated monitoring tools.
- Xpoz uses natural language queries with no Boolean syntax required, while Determ's alert configuration follows a more traditional keyword and dashboard model.
- Neither tool offers white-label delivery, so agencies needing client-branded reporting from either platform will need a separate vendor for that piece.
- Xpoz's REST API is available on every plan including Free. Determ gates API access to its Command plan and above, its top pricing tier.
Determ and Xpoz approach brand monitoring from opposite directions. Determ is a continuous media intelligence platform for PR and comms teams, indexing over 100 million news, print, and broadcast sources with real strength in Central and Eastern European coverage. Xpoz is a query tool: you ask a question in plain English against a database of 1.5 billion-plus posts from Twitter, Instagram, TikTok, and Reddit, and it hands back relevant results, including through an MCP server that plugs directly into Claude or Cursor. Determ is built to watch continuously and alert you when something happens. Xpoz is built for you to go looking when you have a question. That difference in posture matters more than any single feature gap between them.
The tools at a glance
Determ
AI media intelligence for PR and comms teams with 100M+ source coverage
Determ is a media monitoring platform for PR agencies and communications teams, indexing more than 100 million sources across online news, print, broadcast transcripts, and social media. AI groups related coverage into topic threads and scores sentiment down to the sentence level, and pricing is published in euros from €99 to €499 per month, so you can plan a budget before talking to sales.
Its regional depth is a real advantage: Croatian, Slovenian, Hungarian, Romanian, and other Central and Eastern European outlets get coverage most global tools skip. Threshold-based crisis alerts and share-of-voice charts against named competitors are built in from the Expand plan up, useful for comms teams that need to catch and report on emerging issues before they peak.
Set against Xpoz, Determ is the continuous-monitoring option: it watches sources around the clock and alerts you when something crosses a threshold, rather than waiting for you to ask a question. What it doesn't have is anything like Xpoz's natural language interface or AI-environment integration, and API access is locked to its top pricing tier.
| Feature | Focus €99/mo | Expand €299/mo | Command €499/mo | Custom Contact |
|---|---|---|---|---|
| Sources monitored | 100M+ | 100M+ | 100M+ | 100M+ |
| Real-time alerts | ✓ | ✓ | ✓ | ✓ |
| Competitor tracking | 1 competitor | 3 competitors | Unlimited | Unlimited |
| Share of voice | ✗ | ✓ | ✓ | ✓ |
| API access | ✗ | ✗ | ✓ | ✓ |
| PDF and CSV export | ✓ | ✓ | ✓ | ✓ |
| Custom dashboards | Limited | ✓ | ✓ | ✓ |
Xpoz
Natural language queries across 1.5B+ social posts via API and MCP integration
Xpoz lets you query a database of over 1.5 billion posts from Twitter, Instagram, TikTok, and Reddit using plain English instead of Boolean operators. Ask a question and it returns relevant posts with sentiment, engagement, and context attached, ranked by relevance rather than recency, so a high-signal older post can surface ahead of low-engagement recent noise.
The standout feature is its MCP server, which exposes the same query capability inside Claude, Cursor, or any MCP-compatible AI environment. Product managers and researchers can pull social data straight into a Claude conversation without opening a separate dashboard. Billing runs on credits rather than seats or flat tiers: the Free plan includes 2,500 credits, Pro is $20/month for 30,000, and Max is $200/month for 600,000.
What Xpoz doesn't offer is anything close to Determ's continuous monitoring model. There's no news or broadcast coverage, platform coverage stops at four social networks, and it lacks persistent real-time alerting infrastructure. It's built for episodic research sprints and AI-assisted workflows, not for a comms team that needs to be paged the moment a crisis-level mention spike hits.
| Feature | Free 0 | Pro $20/mo | Max $200/mo |
|---|---|---|---|
| Credits included | 2,500 | 30,000 | 600,000 |
| Platform coverage | 4 platforms | 4 platforms | 4 platforms |
| REST API access | ✓ | ✓ | ✓ |
| MCP server | ✓ | ✓ | ✓ |
| Natural language queries | ✓ | ✓ | ✓ |
| White-label / client sharing | ✗ | ✗ | ✗ |
| Priority support | ✗ | ✗ | ✓ |
Head-to-head feature comparison
| Feature | Determ | Xpoz |
|---|---|---|
| Primary coverage type | 100M+ news, print, broadcast, and social sources | Twitter, Instagram, TikTok, and Reddit (1.5B+ posts) |
| News, print, and broadcast monitoring | Yes | No |
| Social platforms covered | Limited (social coverage narrower than dedicated tools) | Yes, 4 platforms |
| Query interface | Dashboard with keyword configuration and threshold alerts | Natural language, no Boolean syntax required |
| MCP server for AI environments | No | Yes, on every plan including Free |
| Sentiment / relevance scoring | Yes, AI sentiment at article and sentence level | Yes, sentiment and relevance scoring |
| Competitor / share-of-voice tracking | Yes (Expand plan and up) | No dedicated share-of-voice charts |
| Persistent real-time alerting | Yes, threshold-based crisis alerts | No; built for on-demand queries rather than persistent alerting |
| API access | Command plan and up only | Yes, REST API on every plan including Free |
| White-label delivery | No | No |
| Free tier | No free tier; trial availability varies | Yes, 2,500 credits on Free plan |
| Starting price | €99/mo | $0 (Free), $20/mo (Pro) |
Which should you choose?
DetermXpozDetermXpozDetermXpozDetermThese two tools reflect different assumptions about how monitoring should work. Determ assumes you want a system that watches continuously and tells you when something matters, which is the right model for PR teams accountable for catching a crisis early. Xpoz assumes you'll ask a specific question when you have one, which fits a research workflow better than a monitoring one, and its MCP integration means that question can be asked from inside the same AI tools a team already uses for other work. Buying Xpoz expecting Determ's always-on alerting, or buying Determ expecting Xpoz's natural language flexibility, would both be a mismatch against what each tool is actually built for.
Bottom line
Choose Determ if you need continuous press, broadcast, and social monitoring with crisis alerts and European news depth, and the €99+/month cost is justified by that coverage. Choose Xpoz if your monitoring need is episodic research rather than round-the-clock alerting, especially if your workflow already runs through Claude or Cursor and the MCP integration would save real time. The two aren't mutually exclusive: a product team could run Xpoz for ad hoc research while a comms function runs Determ for ongoing press monitoring, since the credit-based Xpoz pricing keeps that combination affordable.
Frequently asked questions
Can Xpoz replace Determ for continuous brand monitoring?
Xpoz is not built for persistent real-time alerting the way Determ is, its own materials describe it as better suited to on-demand queries than continuous monitoring. A team that needs to be notified the moment a mention spike or negative sentiment threshold hits should rely on Determ's crisis alerts rather than Xpoz's query model.
Does Determ have an MCP server like Xpoz?
Determ has no MCP server or comparable integration with AI environments like Claude or Cursor. Xpoz is built specifically around this capability, exposing its social query tool as a function inside any MCP-compatible AI client, which is a genuine differentiator Determ does not attempt to match.
Which tool is cheaper to start with?
Xpoz is cheaper to start, with a Free plan offering 2,500 credits and a Pro plan at $20/month. Determ has no free tier and starts at €99/month for its Focus plan, though the two tools aren't really priced for the same use case since Determ includes continuous news and broadcast monitoring that Xpoz doesn't offer at any price.
Does Xpoz cover news and broadcast media the way Determ does?
Xpoz's coverage is limited to four social platforms, Twitter, Instagram, TikTok, and Reddit, with no traditional news, print, or broadcast monitoring. Determ's 100 million-plus source index is built specifically for that kind of media coverage, which Xpoz does not attempt to track.
How does Xpoz's credit pricing compare to Determ's flat tiers for a growing monitoring need?
Xpoz's credit model scales with actual query volume, so costs rise with usage rather than a flat monthly fee, which can get expensive fast for continuous high-volume monitoring according to Xpoz's own materials. Determ's flat tiers, from €99 to €499/month, are more predictable for a team that knows it needs ongoing coverage rather than variable, on-demand queries.
Which tool is better for European news coverage?
Determ is the clear choice, with documented depth in Croatian, Slovenian, Hungarian, and Romanian-language publications that Xpoz does not track. Xpoz's coverage is limited to four consumer social platforms and does not include news media in any region or language.