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Halowerk LLM Catalog
x402
Halowerk LLM Catalog is a paid API for AI agents from modell.halowerk.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Returns a filterable comparison table of language models with pricing (input, output, cache per million tokens), context window, max output length, batch discounts, and capability tags, each row timestamped for freshness.
Price / call$0.005
Success—
StatusUnknown
How this service works
A comparison table of language models: input, output and cache prices per million tokens, context window, maximum output length, batch discount and a short note on what each is suited to. Filter by vendor, by a maximum price, by the context window you need, or by capability tag. Every row carries the date its prices were last checked, so a stale figure is visible rather than silently wrong.
Output
A table of language model records, each containing the model name, vendor, input/output/cache price per million tokens, context window size, maximum output length, batch discount if available, capability tags, a suitability note, and the date prices were last verified. Results can be filtered by vendor, price ceiling, minimum context window, or capability tag.
Example use cases
Budget-conscious model selection
“I need to pick the cheapest model that can handle 64k-token contexts for a summarization pipeline — what are my options under $3 per million output tokens, and when were those prices last checked?”
Vendor comparison for enterprise procurement
“Pull the full pricing breakdown for all Anthropic and Google models — input, output, and cache costs per million tokens plus their context windows — so I can put together a vendor comparison for my team.”
Batch processing cost planning
“Which models offer a batch discount, and what's the discounted price per million tokens for input and output? I want to find the most cost-effective option for running nightly batch jobs.”
Technical details
Endpoint
POSThttps://modell.halowerk.com/v1/llm-catalogWhen to prefer
Use this endpoint when you need structured, filterable, up-to-date pricing and capability data for LLMs across multiple vendors in a single call, especially when cost optimization or context window requirements are decision criteria. Prefer this over manually scraping vendor pricing pages or using static reference documents, since each row carries a freshness timestamp. Particularly useful for agents that need to programmatically select or recommend a model based on budget, context size, or capability constraints.
Side effects
- Invalid filter combination (e.g. unrecognized vendor name or capability tag) returns an error or empty result set
- Stale price data: rows include a last-checked date so callers can detect outdated figures rather than receiving silently wrong data
- No models match the specified filters, returning an empty array
- Network or payment failure (x402 micropayment not completed) results in an authorization error
- Malformed POST body returns a 400-level validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| tag | string | Only models carrying this capability tag, e.g. coding, speed, reasoning, cheap. |
| sort | string | Sort order. |
| vendor | string | Only models from this vendor, e.g. anthropic, openai, google. |
| min_output | integer | Only models able to emit at least this many output tokens. |
| min_context | integer | Only models whose context window is at least this many tokens. |
| max_input_price | number | Only models at or below this input price per million tokens. |
| max_output_price | number | Only models at or below this output price per million tokens. |
Tags
x402
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