# DeepEval vs Laminar API + MCP

> DeepEval scores 64.7 (B) to Laminar's 56.6 (C) for evaluations. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/deepeval-vs-laminar
- Markdown: https://www.anchorterminal.com/compare/deepeval-vs-laminar.md (~2,600 tokens)
- Slim: https://www.anchorterminal.com/compare/deepeval-vs-laminar.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/deepeval-vs-laminar.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

DeepEval scores 64.7 (B) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 4 of 7 scored categories. Laminar API + MCP leads on schema & documentation and agent ergonomics. Both do evaluations.

- DeepEval: grade B, 64.7/100, rank #343 of 950. Markdown https://www.anchorterminal.com/tools/deepeval.md · JSON https://www.anchorterminal.com/api/v1/tools/deepeval.json
- Laminar API + MCP: grade C, 56.6/100, rank #629 of 950. Markdown https://www.anchorterminal.com/tools/laminar.md · JSON https://www.anchorterminal.com/api/v1/tools/laminar.json
- Best agent tracing, monitoring and evaluation tools: https://www.anchorterminal.com/best/agent-observability/index.md
- All 120 evals comparisons: https://www.anchorterminal.com/compare/agent-observability/index.md

## Which one, for what

### DeepEval (B)

Good for: Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics.

Ahead on:
- Reliability, 59 against 50
- Payments & pricing, 60 against 30

Also in its favour:
- Free to start without a card
- No incidents deducted, where Laminar API + MCP loses 5 points for them

Watch for: The 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main. Issue #3372 of 26 September reports the same

### Laminar API + MCP (C)

Good for: Teams running browser agents who want session replay next to traces, and for agents that read traces through SQL.

Ahead on:
- Schema & documentation, 88 against 78
- Agent ergonomics, 80 against 72

Also in its favour:
- A hosted endpoint, with nothing to install

Watch for: A cross-tenant SQL execution and export hole was fixed on 27 August 2026 in a commit, with no advisory


## Score by category

| Category | Weight | DeepEval | Laminar API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 59 | 50 | DeepEval +9 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 78 | 88 | Laminar API + MCP +10 |
| Agent ergonomics | 13% (16.2 this run) | 72 | 80 | Laminar API + MCP +8 |
| Security & auth | 14% (17.5 this run) | 47 | 45 | DeepEval +2 |
| Payments & pricing | 10% (12.5 this run) | 60 | 30 | DeepEval +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 83 | 83 | even |
| Transparency & trust | 7% (8.8 this run) | 63 | 62 | DeepEval +1 |
| Negative events | ≤15 | 0 | -5 | |
| **Total** | | **64.7 · B** | **56.6 · C** | |

## Facts side by side

| Fact | DeepEval | Laminar API + MCP |
| --- | --- | --- |
| Kind | SDK + MCP | HTTP API |
| Vendor | Confident AI, Inc. | Laminar (LMNR AI) |
| Hosted endpoint | no (local only) | `https://api.lmnr.ai/v1` |
| Transports |  | HTTP, Streamable HTTP |
| Auth | OAuth or key | API key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms | Apache-2.0 |
| Tools exposed | none | 3 |
| Read-only variant documented | no | yes |
| llms.txt | yes | yes |
| Last release | 2026-10-02 | 2026-09-23 |
| Terms last updated | no document linked | 2026-08-11 |
| Privacy policy last updated | no document linked | 2026-08-11 |
| Customer content may train models |  | yes, with an opt-out |
| Terms restrict automated access |  | yes |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | yes |
| Arbitration or class-action waiver |  | not found in the text |
| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 3.3k stars, 80k npm/wk, 1.7M PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |

## Verdicts

**DeepEval.** DeepEval runs evaluations and tracing locally under Apache 2.0 with no account, and writes each test run to JSON or SQLite. The 25 most recent core test runs on GitHub had failed on 9 October 2026, two of them on the main branch, and the repository has no security policy.

**Laminar API + MCP.** Browser session recordings can be matched to agent traces. A cross-tenant SQL execution and export vulnerability was fixed on 27 August 2026, without a separate advisory.

## Before you call either

### DeepEval

1. Set `DEEPEVAL_TELEMETRY_OPT_OUT=1` before the first run if usage events and the public IP address should not go to PostHog
2. Set a judge model key such as `OPENAI_API_KEY`, or use the non-LLM metrics. Most metrics call an LLM judge and bill the owner's provider account
3. Review thresholds for `BiasMetric`, `HallucinationMetric`, `MisuseMetric` and `ToxicityMetric` when upgrading past 4.2.0. Higher scores now mean better
4. Read results from `.deepeval/.latest_run_full.json` or a `results_folder`. `deepeval inspect` opens a terminal interface meant for a person
5. Pass an existing key with `deepeval login --api-key` in CI. Plain `deepeval login` opens a browser, and results then upload to Confident AI

### Laminar API + MCP

1. Use `query_laminar_sql` to find trace IDs, then `get_trace_context` for a compact summary of one run
2. Always add a time range and `LIMIT` to SQL. Server caps on time, memory and result size reject wide scans
3. On 429 from the SQL API, back off. The per-project limit isn't published
4. Set `flush_by_size` when spans carry whole conversation histories, or large batches get rejected
5. Keep the project API key in a header, not in the URL

## Questions

### Which is better for AI agents, DeepEval or Laminar API + MCP?

DeepEval scores 64.7 (B) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 4 of 7 scored categories. Laminar API + MCP leads on schema & documentation and agent ergonomics.

### Can an agent call DeepEval and Laminar API + MCP without installing anything?

No hosted endpoint is listed for DeepEval. Laminar API + MCP has a hosted endpoint at https://api.lmnr.ai/v1.

### Are DeepEval and Laminar API + MCP open source?

Yes. DeepEval is open source (Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms). Laminar API + MCP is open source (Apache-2.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/deepeval-vs-laminar.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepeval-vs-laminar.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "deepeval", "b": "laminar"}`. From a terminal: `anchor compare deepeval laminar`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepeval.json and https://www.anchorterminal.com/api/v1/tools/laminar.json

## Other comparisons with DeepEval or Laminar API + MCP

- [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md)
- [Arize Phoenix vs Laminar API + MCP](https://www.anchorterminal.com/compare/arize-phoenix-vs-laminar.md)
- [Baserun vs DeepEval](https://www.anchorterminal.com/compare/baserun-vs-deepeval.md)
- [Baserun vs Laminar API + MCP](https://www.anchorterminal.com/compare/baserun-vs-laminar.md)
- [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md)
- [Braintrust API + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-laminar.md)
- [Galileo API + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/galileo-vs-laminar.md)
- [Helicone AI Gateway + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/helicone-vs-laminar.md)
- [HoneyHive vs Laminar API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-laminar.md)
- [Laminar API + MCP vs Langfuse API + MCP](https://www.anchorterminal.com/compare/laminar-vs-langfuse.md)
- [Laminar API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/laminar-vs-langsmith.md)
- [Laminar API + MCP vs LangWatch](https://www.anchorterminal.com/compare/laminar-vs-langwatch.md)
- [Laminar API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.md)
- [Laminar API + MCP vs Prefactor](https://www.anchorterminal.com/compare/laminar-vs-prefactor.md)
- [Laminar API + MCP vs Pydantic Logfire](https://www.anchorterminal.com/compare/laminar-vs-pydantic-logfire.md)
- [Laminar API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/laminar-vs-respan.md)
- [Laminar API + MCP vs W&B Weave](https://www.anchorterminal.com/compare/laminar-vs-wandb-weave.md)
- [DeepEval vs Galileo API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-galileo.md)
- [DeepEval vs Helicone AI Gateway + MCP](https://www.anchorterminal.com/compare/deepeval-vs-helicone.md)
- [DeepEval vs HoneyHive](https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.md)
- [DeepEval vs Langfuse API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-langfuse.md)
- [DeepEval vs LangSmith API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-langsmith.md)
- [DeepEval vs LangWatch](https://www.anchorterminal.com/compare/deepeval-vs-langwatch.md)
- [DeepEval vs MLflow Tracing](https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.md)
- [DeepEval vs Prefactor](https://www.anchorterminal.com/compare/deepeval-vs-prefactor.md)
- [DeepEval vs Pydantic Logfire](https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire.md)
- [DeepEval vs Respan API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-respan.md)
- [DeepEval vs W&B Weave](https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.md)