Current Kendr resources · reviewed 12 August 2026

Find the right Kendr path for the work in front of you.

Kendr combines an AI workspace, public model intelligence, local model support, hosted inference, compatible APIs and transparent usage records. Choose an outcome below to see what is available, where it runs and which current guide to open.

Start with your job, not a feature list.

Each path points to a current Kendr surface. Use the labels to separate public research material from account, API and desktop capabilities.

Six useful outcomes Kendr supports today.

These are product paths, not customer stories. Results depend on the source material, selected model, enabled route, account policy and the review applied to the output.

Research workspaceWeb + desktop

Create a source-traceable research brief

Frame a question, gather relevant sources, compare claims and preserve citations with the resulting artifact.

Useful for market scans and technical researchReview sources before acting on conclusionsAvailability depends on the selected research surface
Explore deep research
Model evaluationPublic

Build an evidence-based model shortlist

Compare model cost, context, capability, benchmark and scoped popularity data without treating every profile as a Kendr-hosted model.

Hosted, knowledge-only and local labelsDated sources and missing-data statesRankings with published methodology links
Open model rankings
Application developmentAccount + API key

Migrate a supported model call to Kendr

Keep a supported OpenAI client, then change the base URL, API key and model alias. Test the request fields your application uses before production.

Chat Completions and Responses pathsStreaming, tools and structured-output guidanceScoped server-side credentials
Follow the migration guide
Kendr managed routingHosted request

Explain how a routed request was settled

For Kendr managed routing responses, retain the public selected alias, decision metadata, fallback outcome, latency, version identifiers, usage and exact credit charge.

Opaque receipt ID for correlationSanitized public routing fieldsNo provider credentials or raw provider errors
Read the response envelope
Local AIDesktop + Ollama

Work with local files and local inference

Use a compatible Ollama model from Kendr Desktop when the work should remain on the machine running the local runtime.

Model download and compute stay your responsibilityCapability varies by model and quantizationSending work to hosted services changes the boundary
Download Kendr Desktop
Usage operationsPublic policy + account data

Reconcile model usage with the wallet

Quote from the current catalog, then use returned microcredit settlement and account billing activity as the record of completed usage.

One fixed 5% model-cost markupOne wallet across web, desktop and APIPurchased credits do not expire
Read the billing guide

From public discovery to a settled response.

The public catalog needs no key. Generating a response requires a funded Kendr account and a scoped API key kept outside browser code.

OpenAI-compatible quickstart

Change three values, then test your exact request.

Keep a supported client. Change the base URL, API key and model alias. Persist kendr_usage, plus kendr_routing when a Kendr Route handled the request.

Compatibility boundary Kendr supports documented request formats; it does not claim every OpenAI endpoint or provider-specific extension.
curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kendr-intelligent",
    "messages": [
      {"role": "user", "content": "Summarize the tradeoffs."}
    ]
  }'
  1. 01
    Discover

    Inspect GET /api/public/models without a key, then use authenticated GET /v1/models for account availability.

  2. 02
    Call

    Choose an exact model alias or a Kendr Route. The example uses kendr-intelligent. Use a stable idempotency key for safe retries of chargeable requests.

  3. 03
    Record

    Store settled usage. For routed requests, retain the opaque receipt ID and sanitized route decision fields needed for support or audit correlation.

Quote from current data. Settle from the receipt.

Public rates help estimate a request. The returned integer microcredit charge is the source of truth for completed model usage.

01 · PRICE POLICY

One 5% markup

Exact model aliases and Kendr managed routing use the same fixed markup on configured provider model cost.

Read the rule
02 · WALLET

Purchased credits persist

Credits from completed paid package purchases never expire. Promotional grants can carry their own expiry.

See wallet behavior
03 · SETTLEMENT

Usage is explicit

Successful model responses return settled usage and charged credit micros. Use those fields instead of reconstructing the bill.

Read usage fields
04 · ROUTING

Decisions leave a receipt

Kendr Routes expose a sanitized routing receipt with the selected alias, outcome, versions, latency, usage and cost.

Inspect evidence

Search, media, knowledge-base, meeting and other non-model capabilities can have separate published unit rates. Do not infer those prices from the model markup. Open current pricing.

Check the live or dated source behind the claim.

This hub describes current product paths. Volatile values and operational state belong in live APIs or explicitly dated evidence, not timeless marketing copy.

Live

Hosted model catalog

Account-neutral aliases, capability metadata, availability and public credit rates.

Open catalog JSON
Live

Regional pricing

Current public package quote plus the published model markup and credit-expiry rules.

Open pricing
Current snapshot

Service status

A present-time website and public API database check, not an uptime history or SLA claim.

Check status
Evidence register

Claims and limitations

The code, configuration or operational evidence that supports key public statements.

Review evidence

What should you know before choosing a path?

Direct answers to the availability, model, API and billing questions that determine the correct Kendr setup.

What can I do with Kendr?

Kendr combines a web and desktop AI workspace with model discovery, hosted model access, compatible model APIs, routing receipts, local Ollama support and one account credit wallet. The right surface depends on whether you need public model research, hosted execution, local work or an API integration.

Can every model in the directory be called through Kendr?

No. Individual model pages are labeled as Kendr-hosted, knowledge-only or local. Use the live public catalog for account-neutral hosted availability and authenticated GET /v1/models for the aliases available to an API account.

Does Kendr support local AI models?

Yes, through Kendr Desktop and a connected compatible Ollama runtime. Local capability, speed and memory requirements depend on the exact model variant, quantization, hardware and runtime configuration. Sending the result into a hosted workflow changes the execution boundary.

Does Kendr have an OpenAI-compatible API?

Yes. Kendr documents supported Chat Completions and Responses routes and also supports documented Anthropic-format paths. A migration normally changes the base URL, key and model alias. Test the exact fields you rely on because Kendr does not claim compatibility with every upstream endpoint or extension.

What is a Kendr routing receipt?

For Kendr managed routing responses, kendr_routing is a sanitized record of the selected public alias, route decision category, outcome, versions, latency, settled usage and cost. It includes an opaque receipt ID for correlation while excluding provider credentials, internal router-model details and raw provider errors.

How does Kendr model pricing work?

Kendr applies one fixed 5% markup to configured provider model cost for exact aliases and Kendr managed routing. Completed model responses contain the settled microcredit charge. Purchased credit packages never expire; promotional grants can have grant-specific expiration.

Choose the surface that matches your boundary.

Start on the web for Kendr Cloud and public model research. Install Kendr Desktop when the work needs local files, a local Ollama runtime or desktop-only tools.