Head to head
Anon vs Integuru
As a unofficial API, Anon rates higher on the APIbenchmarks Index, 76.2 to 72.4, a 3.8-point gap. Here is how they compare on each criterion.
Criterion by criterion
| Criterion | Anon | Integuru |
|---|---|---|
| Documentation & DX | ||
| Reliability | ||
| Ecosystem & SDKs | ||
| Accessibility | ||
| APIbenchmarks Index | 76.2 | 72.4 |
Specifications
| Anon | Integuru | |
|---|---|---|
| Best for | Managed authenticated agent workflows | Free DIY reverse-engineering |
| Free tier | No | Fully free and open source (AGPL-3.0); you pay only LLM costs |
| Pricing | Sales-led / quoted | Open source (AGPL-3.0) |
| Official SDKs | 3 languages | 2 languages |
Is Anon better than Integuru?
On the APIbenchmarks Index, Anon rates higher (76.2 vs 72.4). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.
Verdict in one line
Anon leads by 3.8 points (76.2 vs 72.4) and wins 3 of 4 criteria; Integuru wins 1.
Winner by criterion
| Criterion | Winner | ||
|---|---|---|---|
| Documentation & DX | 76 | 68 | |
| Reliability | 82 | 60 | |
| Ecosystem & SDKs | 79 | 72 | |
| Accessibility | 66 | 95 |
Choose Anon if… / choose Integuru if…
- →documentation & dx matters most to you (76 vs 68)
- →reliability matters most to you (82 vs 60)
- →ecosystem & sdks matters most to you (79 vs 72)
- →you need broad SDK coverage (3 official SDKs vs 2)
- →your use case matches its focus: managed authenticated agent workflows
- →accessibility matters most to you (95 vs 66)
- →you want a free tier to start (Fully free and open source (AGPL-3.0); you pay only LLM costs)
- →your use case matches its focus: free diy reverse-engineering
Pricing side by side
- Model
- Sales-led / quoted
- Free tier
- No
- EnterpriseQuoted, not publicly listed
- Model
- Open source (AGPL-3.0)
- Free tier
- Fully free and open source (AGPL-3.0); you pay only LLM costs
- Open source$0
Vendor-published pricing, verified 2026-08-12 (Anon) and 2026-08-12 (Integuru).
SDK and language coverage
Both · 0
None
Only Anon · 3
Agent authentication toolkit (developer SDK)Hosted agent runtime APINo-code builder (Anon 2.0)
Only Integuru · 2
Python (generated integration code)Open-source CLI agent (AGPL-3.0)
Strengths and weaknesses
- +Strongest named customer base in the category: Square, Brex, Deel, Personio, Homebase, Middesk, Delphi, MultiOn and 'hundreds more'
- +Self-healing agents designed to recover automatically from UI changes
- +Hosted execution in managed cloud sandboxes; you do not run the browser infrastructure
- –No published pricing, no free tier and no open sandbox; evaluation requires a sales conversation
- –Thin public developer documentation: no quickstart, SDK list or code samples surfaced
- –Execution is fundamentally browser-based, so it mitigates UI drift rather than structurally avoiding it
- +Completely free and open source (AGPL-3.0); only cost is LLM inference
- +4,700+ GitHub stars and an active organisation
- +Generates runnable Python that calls internal APIs directly, no browser in the loop
- –No observability, no auto-repair and no monitoring: breaks are silent and yours to fix
- –No support, no SLA and no commercial backing behind the integration
- –Documentation is effectively a README, with no hosted reference or production guidance
Anon vs Integuru: questions
- Which has better documentation, Anon or Integuru?
- Anon scores higher on documentation and developer experience: 76 vs 68 out of 100.
- Which is more reliable, Anon or Integuru?
- Anon scores higher on reliability: 82 vs 60 out of 100.
- Do Anon and Integuru have a free tier?
- Anon: no free tier. Integuru: yes (Fully free and open source (AGPL-3.0); you pay only LLM costs).
- How are Anon and Integuru priced?
- Anon: Sales-led / quoted. Integuru: Open source (AGPL-3.0).
- Which has more official SDKs?
- Anon lists 3 official SDKs, Integuru lists 2.