{"name":"ScaleDown","description":"Small language models that each do one job: compress long context, summarize, pull structured data out of text, and sort text into categories you define. A fraction of a general-purpose model's cost, and faster. Prepaid credits bought over a payment rail; no account, no API key.","url":"https://agents.scaledown.ai","preferredTransport":"HTTP+JSON","protocolVersion":"1.0","version":"1.0.0","capabilities":{},"defaultInputModes":["application/json"],"defaultOutputModes":["application/json"],"skills":[{"description":"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. Contract analysis: parties, effective dates, termination clauses, governing law; Resume parsing: name, email, skills, employers, job titles, education; Medical records: diagnoses, medications, dosages, lab values, dates of service. Metered at $0.05 per 1M tokens, flat, with no tiers.","id":"extract","name":"Pull structured data out of text","tags":["inference","text","extract"]},{"description":"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. Support ticket triage: route to the billing, technical, or account queue; Content moderation: score against a spam, abuse, or policy rubric and act on a threshold; Intent detection: question, complaint, feedback, or cancellation. Metered at $0.05 per 1M tokens, flat, with no tiers.","id":"classify","name":"Sort text into your own categories","tags":["inference","text","classify"]},{"description":"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. Document review: contracts, research papers, policy documents; News digests: condense articles into a paragraph or a few bullets; Customer feedback: summarize support tickets, reviews, or survey responses at scale. Metered at $0.05 per 1M tokens, flat, with no tiers.","id":"summarize","name":"Summarize long text","tags":["inference","text","summarize"]},{"description":"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. Retrieval pipelines: shrink fetched passages before they go into the prompt; Question answering over a long document that would not otherwise fit; Long conversations: compress the history instead of dropping the start of it. Metered at $0.05 per 1M tokens, flat, with no tiers.","id":"compress","name":"Shrink a long context down to what a question needs","tags":["inference","text","compress"]},{"description":"Purchase prepaid 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).","id":"topup","name":"Buy inference credits","tags":["credits","metered"]},{"description":"Read the prepaid token balance behind an operator token, and what it is worth at the current rate. Free.","id":"balance","name":"Check the prepaid balance","tags":["credits","metered"]}],"documentationUrl":"https://agents.scaledown.ai/llms.txt"}