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Models & providers

Any model. Same evidence.

Candor AI sits in front of every provider your policy approves: frontier labs, crypto-native and confidential-compute networks, or models you run yourself. Each call gets the same policy check, DLP, record and on-chain anchor, whoever served it.

Every modality, one audit trail

Each endpoint gets the same treatment: identity, role-based model access, DLP, budgets, a write-ahead record sealed with post-quantum encryption, and an on-chain anchor. Prices are set per modality in the policy, so cost records are exact.

Text, code and agents

Chat completions and Anthropic Messages, streaming, tool use, and agent payments. /v1/chat/completions · /v1/messages

Embeddings

Vectors for search and retrieval. Inputs are scanned; the record keeps the vector count, dimensions and a hash. /v1/embeddings

Image generation

Prompts are scanned before the provider sees them. Each image is hashed into the record and priced per image, with a per-request cap. /v1/images/generations

Text to speech

Voice output for assistants and accessibility. Input text is scanned; the audio is hashed and kept in the sealed record. /v1/audio/speech

Transcription & translation

Meeting and call audio to text. Transcripts are scanned and redacted before they reach the caller. Priced per minute. /v1/audio/transcriptions

Video roadmap

Video generation has no common API across providers yet. We'll add it per provider as enterprise demand and standards settle.

Audio uploads can't be scanned for sensitive data, so they're refused unless your policy explicitly allows audio uploads. When the policy redacts output, transcripts are returned only as plain text or JSON text, never as segments or subtitles that could split sensitive data. Endpoints work with any provider that offers them through an OpenAI-compatible API.

Bring your own provider accounts

You connect your own accounts with each provider, so your contracts, data-processing terms and payment method stay between you and them. The policy pins each provider's endpoint and lists its attestations. A HIPAA policy, for example, will only route to providers marked with a BAA.

ProviderTypeAPIPaying the providerData handling (per the provider)
AnthropicFrontier labAnthropic nativeCard or invoiceEnterprise terms, zero-retention options
OpenAI / Azure OpenAIFrontier labOpenAICard or invoiceEnterprise terms, regional deployments on Azure
VeniceCrypto-native, privateOpenAI-compatibleCard, crypto credits, staked DIEM, or pay-per-call USDC (x402)"Private" models are not stored, according to Venice; TEE and end-to-end encrypted modes are available
NEAR AI CloudConfidential computeOpenAI-compatiblePay as you go, digital assets, staking creditsIntel TDX and NVIDIA GPU TEEs with signed responses; DPA available; no training on customer data
Phala Private AIConfidential computeOpenAI-compatiblePrepaid balanceTEE inference with per-response attestation receipts; zero-data-retention models
ChutesDecentralized (Bittensor)OpenAI-compatibleCard, crypto or TAO, pay per tokenTerms say API content is not logged or stored; TEE models available
AkashML · io.netDecentralized computeOpenAI-compatiblePer providerCheck each provider's terms
OpenRouterAggregatorOpenAI and Anthropic formatsCard or cryptoZero-data-retention setting per account
Your own modelsSelf-hostedOpenAI-compatible (vLLM, Ollama, TGI, LM Studio)Your infrastructure, or verified GPUs on WRAITHGRIDNever leaves your network

Provider details are summarised from each provider's public documentation as of October 2026 and can change. Privacy claims are the provider's own. Candor AI records what was sent and returned; it cannot audit what happens inside a provider. Where a provider offers hardware attestation (TEE), keep its attestation with the record.

Three ways to run models

Choose per workload, in policy.

Different roles can use different routes. For example, engineering can use frontier models, legal can use confidential-compute models only, and agents can use your self-hosted fleet. Each record states the route it took.

Your own models

Open-weight models on your hardware or private cloud. Maximum control, no third party in the data path.

Your provider accounts

Frontier labs and crypto-native networks under your own contracts and payment methods, crypto included.

Candor Relay in development

Prepay in USDC on Monad and route to supported providers through Farnsworth, with per-call receipts anchored on chain. Opt-in only: the relay puts Farnsworth in the data path, which the self-hosted modes never do.

Need a provider that isn't listed?

Any endpoint that speaks the OpenAI or Anthropic API works today. Tell us what you use and we'll add a preset for it.

Contact us