# Crisp vs EvalCore

Crisp records 1,408,646 monthly visits with +1.5% month-over-month growth and Free Trial, Paid, Contact for Pricing, Free pricing. EvalCore records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Crisp](https://openaitools.app/tool/crisp-chat) | [EvalCore](https://openaitools.app/tool/evalcore) |
| :--- | :--- | :--- |
| Website URL | https://crisp.chat | https://evalcore.cc |
| Categories | AI Chatbot, AI Knowledge Base, AI Customer Service, AI CRM | AI Testing, AI Developer Tools, Large Language Models (LLMs), AI Agent |
| Pricing Model | Free Trial, Paid, Contact for Pricing, Free | Free |
| Monthly Visits | 1,408,646 | 0 |
| MoM Growth Rate | +1.5% | 0% |
| Primary Market | France | Global |
| Direct Visits | 1,154,066 | 0 |
| Review Score | 4.6 | 4.8 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Crisp

Crisp started as a live chat widget and grew into a full customer support suite. Conversations from a website widget, email, WhatsApp, Messenger, Instagram, and other channels all land in one collaborative inbox that agents can share, assign, and manage together. Alongside the inbox sit a help center for self-service articles, a lightweight support CRM that stores customer data and past interactions, and analytics that track team performance.

The centerpiece now is the AI layer. You train an AI agent on the content you already have — public pages, help articles, PDFs — and then build a workflow in a no-code builder or from a template library. That workflow can be deployed to any connected channel, and you can review every exchange to refine answers that fell short. Crisp positions this as a way to automate roughly half of routine inquiries so humans handle the cases that matter.

Crisp is built by a French company and emphasizes European data handling, with a status page, extensive integrations, and a developer hub for teams that want to extend the platform further. It serves companies of many sizes, from small businesses to larger support organizations.

**Pricing & Plans:** Free tier available plus paid plans, with a 14-day free trial covering all features and no credit card required. Flat-rate pricing is offered to reduce cost per agent; check the site for current tiers.

- **Omnichannel shared inbox:** Collect and manage conversations from web chat, email, WhatsApp, Messenger, Instagram, and more in one collaborative inbox.
- **No-code AI agents:** Train an agent on your website, help articles, and PDFs, then build answer workflows with a visual builder or ready-made templates.
- **Knowledge base and help center:** Publish branded help articles so customers can resolve common questions without contacting support.
- **Support CRM:** Keep leads and customer records with full conversation history in one place for more personal, contextual replies.
- **Analytics and automations:** Track daily support metrics, then automate internal routing and repetitive tasks with no-code workflows.

**Strengths:** One platform covering chat, email, and social messaging rather than several disconnected tools; No-code AI agent builder makes automation accessible without engineering help; Free tier and a no-card trial let small teams start without upfront cost; European company with a public status page and a developer hub for custom work

**Limitations:** The breadth of features can take time to configure for a first-time setup; Advanced AI capabilities and analytics sit behind higher-priced plans; Some social channels depend on third-party platform policies and API limits

[Profile (Markdown)](https://openaitools.app/tool/crisp-chat.md)

## EvalCore

EvalCore solves a common failure mode in AI engineering: you tweak a prompt, swap a model, or bump a dependency, and something quietly breaks in production. Instead of trying to re-run expensive, non-deterministic model calls in CI, EvalCore treats AI behaviour like a snapshot. An eval is just a YAML file describing a target and a JSONL dataset, with scorers stacked on top to define what "good" means.

The first run happens live against a real model — anything OpenAI-compatible, vLLM, Ollama, a custom REST API, a shell command, or OpenTelemetry/OpenInference traces. Every request and response is written to a local SQLite cassette, keyed by a hash of the canonical request, along with token and cost figures on the summary. From then on, CI replays those recordings byte-for-byte with `--cache replay`: no network, no API keys, no flaky judge model, and identical inputs always produce identical verdicts.

Because the cassette is committed to your repository, a `--baseline main` comparison fails only on genuine regressions, and the process exit code gates the pipeline. Trials, model comparisons, agent traces, gates, and reports are all a few lines of YAML or a flag rather than a framework. It ships as one small Rust binary, works with any language on the other side of the target, and collects no telemetry.

**Pricing & Plans:** Free and open source under the Apache-2.0 licence, with $0 cost in CI thanks to offline cassette replay. Install via cargo or prebuilt binaries; no signup, no server and no telemetry.

- **Record once, replay forever:** A live run captures every model request and response into a local SQLite cassette that CI can replay offline and deterministically at zero cost.
- **Anything can be a target:** Point EvalCore at OpenAI-compatible endpoints, vLLM, Ollama, your own REST APIs, shell commands, or OTel/OpenInference traces — no SDK required.
- **Scorers that define 'good':** Stack contains, judge-rubric and other scorers in YAML to express exactly what a correct answer looks like for each case.
- **Regression gates and baselines:** Compare against a baseline branch so only real regressions fail, and let the process exit code gate your pull requests.
- **Cost, tokens and reports built in:** Every summary reports token usage and spend for live runs, while trials, model comparisons and history give you a clear picture over time.

**Strengths:** Genuinely free and open source under Apache-2.0, with no usage-based pricing; Deterministic offline replay removes flaky, expensive model calls from CI; Single dependency-free binary that works regardless of your app's language; Configuration is plain YAML plus JSONL, so suites are easy to review and version

**Limitations:** Requires a Rust toolchain or a prebuilt binary and comfort with the command line; Cassettes must be recorded live first, so initial setup needs real API access; No hosted dashboard — results and history live in your repo and CI logs

[Profile (Markdown)](https://openaitools.app/tool/evalcore.md)

## Frequently Asked Questions

### How do Crisp and EvalCore compare in monthly traffic?

Crisp has 1,408,646 monthly visits, while EvalCore has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Crisp has a month-over-month growth rate of +1.5%; EvalCore has 0%.

### How does pricing compare?

Crisp: Free Trial, Paid, Contact for Pricing, Free. Free tier available plus paid plans, with a 14-day free trial covering all features and no credit card required. Flat-rate pricing is offered to reduce cost per agent; check the site for current tiers. EvalCore: Free. Free and open source under the Apache-2.0 licence, with $0 cost in CI thanks to offline cassette replay. Install via cargo or prebuilt binaries; no signup, no server and no telemetry.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [tawk.to](https://openaitools.app/tool/abdul-malik-ibrahim-jaber-hassan) | 5,726,823 | -1.5% | Freemium | Delivers a completely free live chat foundation with strong visitor tracking, though its interface feels more traditional than Crisp. | [.md](https://openaitools.app/tool/abdul-malik-ibrahim-jaber-hassan.md) |
| 2 | [Intercom](https://openaitools.app/tool/intercom-help) | 2,764,543 | -5.8% | Free Trial, Paid | Offers much more advanced AI automation and analytics, but comes with a significantly higher pricing tier than Crisp. | [.md](https://openaitools.app/tool/intercom-help.md) |
| 3 | [Respond.io](https://openaitools.app/tool/respond-io) | 1,606,802 | -8.7% | Freemium | Excels at unifying disparate social messaging channels into one inbox, but is less focused on traditional website widget customization. | [.md](https://openaitools.app/tool/respond-io.md) |
| 4 | [Chaport](https://openaitools.app/tool/chaport-com) | 1,458,924 | +130.1% | Freemium | Offers a lightweight and budget-friendly live chat and chatbot setup, but lacks Crisp's extensive omnichannel knowledge base features. | [.md](https://openaitools.app/tool/chaport-com.md) |
| 5 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 6 | [eesel AI](https://openaitools.app/tool/eesel-ai) | 556,113 | +5.7% | Freemium, Free Trial, Paid, Contact for Pricing | Autonomous AI agents for customer service, content and operations | [.md](https://openaitools.app/tool/eesel-ai.md) |
| 7 | [Tidio](https://openaitools.app/tool/tidio) | 527,313 | -6.4% | Freemium | Provides robust e-commerce integrations and visual bot builders, but has a more structured pricing model than Crisp. | [.md](https://openaitools.app/tool/tidio.md) |
| 8 | [Re:amaze](https://openaitools.app/tool/reamaze-com) | 455,787 | +3.6% | Free Trial, Paid, Contact for Pricing | Combines helpdesk ticketing and live chat seamlessly, but features a less modern user interface compared to Crisp. | [.md](https://openaitools.app/tool/reamaze-com.md) |
| 9 | [Richpanel](https://openaitools.app/tool/richpanel) | 384,348 | -9% | Free Trial, Contact for Pricing | Tailored specifically for e-commerce stores with deep Shopify integrations, whereas Crisp serves a broader range of business types. | [.md](https://openaitools.app/tool/richpanel.md) |
| 10 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |

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Source: https://openaitools.app/compare/crisp-chat-vs-evalcore

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)