Antseed vs Fireworks AI Inference

Antseed

A buyer needs no account. The CLI creates a wallet key, free models answer at once and paid ones draw on deposited USDC, with seller, tokens and cost returned in response headers. Sellers are unvetted and can read prompts unless TEE-verified, the proxy forwards a client's own credential headers to them, and every package is pre-1.0.

Fireworks AI Inference

Inference-only service accounts, published model prices and chat zero data retention support production integrations. Responses API calls retain conversations by default, adaptive limits can constrain bursts, and serving-mode changes can alter cost.

Antseed

1. Send a placeholder key such as antseed-p2p. The proxy forwards whatever Authorization or x-api-key header the client sends to the seller
2. Call GET /v1/models first and request a concrete id. The antseed alias works only when the desktop app has a model selected
3. Handle 402 insufficient_deposits by reading suggestedAmount, then fund the address from antseed buyer deposit with USDC on Base
4. Pass --verifiers antseed-verifier --require-verifier to antseed buyer start when prompts are private, so only TEE-verified sellers are routed
5. Read x-antseed-peer-id and x-antseed-estimated-cost-usd on each response, and pin a seller with <peerId>@<model> when the same one must answer

Fireworks AI Inference

1. Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager.
2. Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the complete accounts/fireworks/models identifier.
3. Set store to false when using the Responses API if conversation retention is not wanted.
4. Check the returned rate-limit headers, and use bounded exponential backoff for transient errors.
5. Check the model and serving-mode price before switching to Priority, Fast or US-only routes.