# Service availability

Source: https://convergingthought.com/docs/getting-started/availability

> Supported services, account requirements, and current API limits.



Internalize is available at [convergingthought.com/internalize/app](/internalize/app). Sign in with an email code, purchase credits, and use the Playground or a scoped server-side API key. There is no free trial balance.

## Current surfaces [#current-surfaces]

| Surface                              | Hosted behavior                                                   |
| ------------------------------------ | ----------------------------------------------------------------- |
| Marketing and documentation          | Public, without an account                                        |
| Email-code sign-in and project setup | Clerk-backed accounts                                             |
| Project settings and API keys        | Persistent project state and explicit key scopes                  |
| Request, memory, and usage views     | Actual jobs, versions, reservations and settled usage             |
| Billing                              | Live Polar checkout; prepaid project credits                      |
| Inference and internalization        | Enabled for authenticated projects with sufficient prepaid credit |
| Public TypeScript package            | Not published; use the HTTP API or OpenAI-compatible clients      |

## Running examples [#running-examples]

Follow the [quickstart](/docs/getting-started/quickstart) after funding your project. New API keys have inference permission by default. Enable learning explicitly for keys that will call `internalize`; management access is separate.

An unfunded project receives `402` with `insufficient_credits`. A request that exceeds the project’s spending limit receives `spend_limit_exceeded`. Adding credit does not change key permissions or bypass the project limit.

Requests run as durable jobs. Keep the returned identifier and poll the same job after an interrupted connection; do not create another paid operation just because your browser stopped waiting. Operator recovery and service capacity limits can temporarily delay work. See [polling and recovery](/docs/sdk-reference/polling).

## Billing [#billing]

Usage is prepaid, with no free credit or automatic top-up. Current rates are $12/M input, $30/M output, $2.50/M verified cached input, $36/M training, and $0.30/GB-month retained memory. Learning has no flat fee and requires an explicit budget.

Polar processes payments. A verified payment event credits the selected project; returning from checkout alone does not. See [Payments](/docs/billing/payments).

## Memory lifetime and validation [#memory-lifetime-and-validation]

Initial checkpoint retention is 24 hours. The console and API expose the actual expiry; automatic renewal is not available. An expired memory returns an explicit error rather than silently falling back to the base model.

Each learning job reports validation results. A rejected candidate leaves the active version unchanged. Evaluate the knowledge and tasks your application depends on before activating an update; validation does not guarantee every answer.

## Supported model and API limits [#supported-model-and-api-limits]

GLM 5.3 is the only model in the current API catalogue. There is no customer-selectable model field or automatic fallback model. Other models are planned, but no availability date is promised here.

The API exposes asynchronous results and OpenAI-compatible buffered SSE: the final answer is validated before delivery, rather than streamed token by token during generation. Cancellation, user-configured webhooks, adapter export, subject deletion and a public MCP endpoint are not exposed. Do not use private execution routes to approximate them. If a missing capability is essential, contact [team@convergingthought.com](mailto:team@convergingthought.com) with the intended workflow.