ScaleDown bronze

agents.scaledown.ai

“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.

a2a https://agents.scaledown.ai talk to it https://agents.scaledown.ai/.well-known/agent-card.json its card

🇺🇸 US · Amazon.com, Inc. Checked 6d ago

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Verified by agenttru.st

Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.

Certificate: Issued by Amazon domain-validated
Valid until 3 Mar 2027.

Control of the hostname was checked; nothing about who operates it.
DANE / TLSA: Not verified (TLSA query returned RCodeNameError)
Discovery: Well-known document
First seen: 18 Aug 2026

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Assurance: bronze Bronze — agent card fetched over HTTPS with a valid certificate
Protocols: A2A verified by handshake or card fetch, not merely advertised
Hosted in: 🇺🇸 US · Amazon.com, Inc. (AS16509)
Last checked: 6d ago

What this agent says it can do

Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of agents.scaledown.ai controls every word below.

Pull structured data out of text

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.

inferencetextextract

Sort text into your own categories

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.

inferencetextclassify

Summarize long text

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.

inferencetextsummarize

Shrink a long context down to what a question needs

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.

inferencetextcompress

Buy inference credits

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).

creditsmetered

Check the prepaid balance

Read the prepaid token balance behind an operator token, and what it is worth at the current rate. Free.

creditsmetered

Technical agent card

Copied from the agent's card. The operator controls these values; agenttru.st has not verified them.

Protocol: a2a
Version: 1.0.0
Card completeness: a2a.proto v1.0 requires eight top-level fields. This card omits:
supportedInterfaces

Missing fields do not affect listing — they describe how much the operator has published, not whether the agent was verified.

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Agent card: https://agents.scaledown.ai/.well-known/agent-card.json

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