ScaleDown for Agents: compress, summarize, extract, classify

Agent discovery index.

Agent-to-agent card.

Machine Payments Protocol discovery document.

x402 paid-resource listing.

Read the prepaid balance behind X-Operator-Token.

Liveness probe.

Agent-readable documentation.

Agent skill manifest.

Sort text into categories you define: write a yes/no question describing each category, and get back a score for every one plus the winning label, with nothing to train and no example data to collect. Metered at $0.05 per 1M tokens, flat, with no tiers.

Strip the padding out of a long context before another model has to read it: send the context together with the question it exists to answer, and get back a much shorter version that keeps whatever bears on that question. Metered at $0.05 per 1M tokens, flat, with no tiers.

Purchase credits: whole-dollar top-ups (optional `usd` 1-50, default 5). Crypto rails (Tempo, Solana, x402 Base) settle FLAT from $1 with no fee. Card/Link is $5 multiples and adds a $0.20 service fee per $5 ($5 bills $5.20, $10 bills $10.40); the fee is a fee, so the credit is the same either way. $1 credits 20,000,000 tokens.

Turn unstructured text into structured data: describe each field you want in plain English, and get back the values found in the text, each with a confidence score and the exact position it came from. Metered at $0.05 per 1M tokens, flat, with no tiers.

Condense long text into a short, readable write-up in the model's own words, shaped by an instruction you give it: bullet points, one sentence, a word limit, a language, or a topic to keep to. Metered at $0.05 per 1M tokens, flat, with no tiers.