# CometAPI vs supermemory

CometAPI records 602,966 monthly visits with +49.7% month-over-month growth and Pay-as-you-go (credits) pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.

| Metric | [CometAPI](https://openaitools.app/tool/cometapi) | [supermemory](https://openaitools.app/tool/supermemory-1) |
| :--- | :--- | :--- |
| Website URL | https://www.cometapi.com | https://supermemory.ai |
| Categories | AI Developer Tools, AI API | AI API, Large Language Models (LLMs), AI Developer Tools, AI Agent |
| Pricing Model | Pay-as-you-go (credits) | Contact for Pricing |
| Monthly Visits | 602,966 | 156,579 |
| MoM Growth Rate | +49.7% | -7.7% |
| Primary Market | India | United States |
| Direct Visits | 89,151 | 71,163 |
| Review Score | 4 | 4.5 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## CometAPI

CometAPI is an aggregation layer for large language and multimodal model providers. Instead of maintaining separate accounts, keys and billing relationships with OpenAI, Anthropic, Google and a growing set of image, audio and video vendors, teams sign up once, get a single API key, and call any of 500+ models through an OpenAI-compatible base URL. Existing SDK code usually works after changing the base URL and model name, which keeps migration effort low.

The commercial pitch is straightforward: pay-as-you-go credits, line-item pricing for every model, and rates set below official vendor pricing, with the platform advertising ongoing savings of roughly 20 to 40 percent. There is no monthly subscription or minimum spend, unused credits carry forward, and the model catalog is searchable with side-by-side pricing and capability comparisons. Because model names are the only thing that changes when you switch vendors, teams gain portability if a provider raises prices or has an outage.

Operationally, CometAPI positions itself as production infrastructure rather than a demo playground. It advertises 99.9% service availability and average latency under 400 ms, exposes an API status page and benchmarks, and offers a dashboard for spend, latency and call volume with budget alerts. Enterprise-oriented features include centralized accounts for multiple teams, per-team budgets, encrypted transit and a stated policy that customer data is not used to train models. Integrations with coding agents, low-code automation platforms and app builders let teams plug the gateway into existing workflows rather than rebuilding them.

**Pricing & Plans:** Pay-as-you-go API credits with no monthly subscription, minimum spend or credit card required at signup. CometAPI advertises per-model rates below official vendor pricing, typically 20-40% cheaper, and test credits are included when you create an account.

- **One key for 500+ models:** Replace separate OpenAI, Anthropic and Google credentials with a single key and switch models by changing one line of code.
- **OpenAI-compatible endpoint:** Route text, reasoning, coding, image, audio and video workloads through one OpenAI-compatible base URL without rewriting your app.
- **Transparent pricing and savings:** Line-item pricing per model with discounts below official vendor rates, pay-as-you-go with no monthly subscription or minimum spend.
- **Usage analytics and cost control:** A real-time dashboard tracks spend, latency and call volume so you can set budget alerts and compare models side by side.
- **Prebuilt tool integrations:** Works with Claude Code, Codex, Cline, Dify, n8n, Zapier, Coze and other agent, automation and app-building tools.

**Strengths:** One credential and one endpoint for 500+ models from many providers; OpenAI-compatible format means existing code keeps working with minimal changes; Pay-as-you-go credits with no monthly fee and unused balance carried forward; Dashboard for spend, latency and call volume with budget alerts

**Limitations:** You depend on a third-party intermediary for uptime and latency on every routed model; Some catalog entries are marked coming soon, so not every listed model is instantly available; Pricing and availability can shift as upstream vendors change their own rates

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

## supermemory

Most LLM applications treat memory as an afterthought: chat history is stuffed into the prompt until the window fills up, and everything is lost on the next session or the next model switch. supermemory attacks that problem as infrastructure. Its learner-1 model reads incoming material — conversations, files, URLs, raw data — and performs update, merge, infer and forget operations against a vector-graph database, so learnings stay dense, interconnected and time-aware rather than piling up as an ever-growing transcript.

At request time the relevant memories are injected as tokens directly into the agent's context, which keeps the approach model-agnostic and harness-agnostic. Because learning and memory live outside the model providers, the same accumulated understanding travels with an application whether it runs on Claude, GPT-family models, Gemini or open-weight models, and whether it is driven by an SDK, a plugin or MCP.

The company positions this as the hard part of agent infrastructure and backs it with published numbers: sub-second recall on production traffic, roughly a trillion tokens processed per month, benchmarks on LongMemEval, LoCoMo and ConvoMem, and cost comparisons against markdown-file memory at large corpora. Enterprise features include SOC 2 Type II certification, a HIPAA BAA on higher tiers, GDPR compliance and deployment options ranging from cloud to VPC, on-premises and air-gapped environments.

**Pricing & Plans:** Pricing is split between self-serve tiers and enterprise contracts, which is why the site lists a contact-for-pricing model. Free, Pro and Max tiers cover standard PDF extraction and personal use, while Scale and Enterprise add advanced document extraction with OCR and figure/diagram descriptions, higher limits, security guarantees such as SOC 2 Type II and HIPAA BAA, and deployment choices including your VPC, your data center or air-gapped setups. Exact figures should be confirmed on the pricing page for current rates.

- **learner-1 memory model:** A dedicated model extracts, merges, infers and forgets across stored context so the memory graph keeps improving instead of simply accumulating.
- **Vector-graph memory store:** Learnings link to the entities, sources and moments around them, storing not just content but a time-aware map of how facts relate.
- **Model, harness and MCP agnostic:** Memory lives outside model providers and is used through APIs, SDKs, plugins and MCP, so context carries across models and tools.
- **Real-time context injection:** Relevant memories are injected as tokens into the prompt at request time, giving agents relevant context without unbounded transcripts.
- **Enterprise deployment and compliance:** SOC 2 Type II, HIPAA BAA on higher tiers, GDPR compliance, plus deployment in the cloud, your VPC, your data center or air-gapped.

**Strengths:** Memory is decoupled from model providers, so accumulated context survives model swaps; Rich engineering evidence, including published benchmarks, latency figures and cost comparisons; Multiple integration surfaces — REST API, SDKs, plugins and MCP; Strong enterprise posture with SOC 2 Type II, HIPAA BAA, GDPR and air-gapped deployment options

**Limitations:** Self-serve pricing on the public site is thin, and exact tier costs may require a sales conversation; It is infrastructure rather than an end-user app, so there is real integration work before you see value; Benchmark results and adoption figures are vendor-reported and worth validating against your own workload

[Profile (Markdown)](https://openaitools.app/tool/supermemory-1.md)

## Frequently Asked Questions

### How do CometAPI and supermemory compare in monthly traffic?

CometAPI has 602,966 monthly visits, while supermemory has 156,579. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CometAPI has a month-over-month growth rate of +49.7%; supermemory has -7.7%.

### How does pricing compare?

CometAPI: Pay-as-you-go (credits). Pay-as-you-go API credits with no monthly subscription, minimum spend or credit card required at signup. CometAPI advertises per-model rates below official vendor pricing, typically 20-40% cheaper, and test credits are included when you create an account. supermemory: Contact for Pricing. Pricing is split between self-serve tiers and enterprise contracts, which is why the site lists a contact-for-pricing model. Free, Pro and Max tiers cover standard PDF extraction and personal use, while Scale and Enterprise add advanced document extraction with OCR and figure/diagram descriptions, higher limits, security guarantees such as SOC 2 Type II and HIPAA BAA, and deployment choices including your VPC, your data center or air-gapped setups. Exact figures should be confirmed on the pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Industry-leading model router with transparent pricing and broad provider support, but lacks Comet's specific bundled discounts. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 3 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Excels at serverless generation of media models like images and video, but is less focused on general LLM routing. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 4 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Focuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context. | [.md](https://openaitools.app/tool/composio.md) |
| 5 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Specializes in high-performance serverless inference for open-source models, but offers fewer proprietary commercial model options. | [.md](https://openaitools.app/tool/together-ai.md) |
| 6 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Offers unified access to multimodal language and media models, but focuses more heavily on generation infrastructure. | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 7 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |
| 8 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | The universal context engine connecting agents to data, tools, and models | [.md](https://openaitools.app/tool/merge-dev.md) |
| 9 | [EvoLink AI Model API](https://openaitools.app/tool/evolink-ai-model-api) | 312,573 | -27% | Free Trial, Paid, Contact for Pricing | One API for LLM, image, video, and audio models in production | [.md](https://openaitools.app/tool/evolink-ai-model-api.md) |
| 10 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | Offers enterprise-grade scalable vector search and RAG storage, but lacks supermemory's automated agent memory graph abstractions. | [.md](https://openaitools.app/tool/pinecone.md) |

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Source: https://openaitools.app/compare/cometapi-vs-supermemory-1

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