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System One1K context

Trio-Spark v1.3 on QuickSilver Pro

Trio-Spark v1.3 is MachineFi's System One decision model. Send text as a state with typed questions to POST /v1/systemone: one forward pass returns choice, score or noul answers with calibrated probabilities, without generating tokens. QSP supports text input only, within a 1,024-token input limit. Pay $0.042 per million input tokens; output is free.

$0.042 per 1M input tokens · output free
ByRaullen Chai·Updated

At a glance

Context
1K tokens
Input / 1M
$0.042
Output / 1M
Free
Endpoint
/v1/systemone

Routing, classification and scoring over short text with calibrated probabilities.

Pricing comparison ($/1M tokens)

ProviderInputOutputvs QSP
QuickSilver Pro$0.042Free—
MachineFi list price (trio-spark-v1.3)$0.042Freesame

When to use

Use Trio-Spark v1.3 for routing, ticket triage, classification and rubric-based scoring when the input fits 1,024 tokens. MachineFi reports 90.9% on a ten-task panel of 2,977 decisions, up from 83.1% for v1.0, with expected calibration error 0.019. The same panel reports Jev 1.13 at 90.0%, Clef at 90.8% and Clef-Flash at 91.8%. Group related questions about one state in a single request.

When to use something else

The 1,024-token input limit includes the request's state and questions; requests over it are rejected. Jev 1.13 offers 32K context for longer decision inputs. QSP accepts text input only for Trio: image and video input are unavailable here. Use a chat model for generated text, code or summaries. System One responses do not stream.

Quickstart: POST /v1/systemone (curl)

curl https://api.quicksilverpro.io/v1/systemone \
  -H "Authorization: Bearer $QSP_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "trio-spark-v1.3",
    "state": "hi",
    "questions": {
      "greeting": {
        "type": "choice",
        "instructions": "Is the state a greeting?",
        "criteria": {"yes": "it is a greeting", "no": "it is not a greeting"}
      }
    }
  }'

# {"id":"so-45a870bb532d4a72b41404cc8911c72e","model":"trio-spark-v1.3",
#  "answers":{"greeting":{"type":"choice","choice":"yes",
#    "probabilities":{"no":0.07,"yes":0.93},"confidence":0.87}},
#  "usage":{"input_tokens":314,"output_tokens":33,"cost":...,"currency":"USD"}}
python (requests)
import os, requests

resp = requests.post(
    "https://api.quicksilverpro.io/v1/systemone",
    headers={"Authorization": f"Bearer {os.environ['QSP_KEY']}"},
    json={
        "model": "trio-spark-v1.3",
        "state": {"ticket": "I was charged twice for my subscription this month."},
        "questions": {
            "queue": {
                "type": "choice",
                "instructions": "Which team should handle this ticket?",
                "criteria": {
                    "billing": "payments, charges, refunds, invoices",
                    "technical": "bugs, errors, integrations",
                    "account": "login, email, profile changes",
                },
            },
            "urgent": {
                "type": "noul",
                "instructions": "Does this ticket need a reply within the hour?",
            },
        },
    },
    timeout=30,
)
resp.raise_for_status()
data = resp.json()
queue = data["answers"]["queue"]
print(queue["choice"], queue["probabilities"])  # picked queue + per-option probabilities
print(data["answers"]["urgent"]["noul"])        # probability-like number
print(data["usage"])                              # input_tokens, output_tokens, cost

System One API, not Chat Completions: send a state and typed questions, get typed answers with probabilities. Same key and balance as every other model. Full System One docs →

FAQ

Trio-Spark v1.3 returns typed decisions instead of generated text: choice selects from your options with probabilities, score evaluates the state against a list of criteria, and noul returns a yes-leaning probability. Multiple questions can share one state in a single request.

POST https://api.quicksilverpro.io/v1/systemone with your QuickSilver Pro key as a Bearer token and JSON containing model="trio-spark-v1.3", state and questions. Send up to 64 questions within the 1,024-token input limit. QSP supports text input only. See /docs/systemone for the schema. Chat Completions and streaming are unsupported.

Input tokens cost $0.042 per million and output is free, at MachineFi list price with no markup. The response usage block reports input_tokens, output_tokens and the USD cost, charged to your existing QSP balance.

Answers are keyed by your question IDs. A choice answer includes the selected option and probabilities, for example {"type":"choice","choice":"yes","probabilities":{"no":0.07,"yes":0.93}}. A noul answer contains a value such as {"type":"noul","noul":0.69}. The QSP response also includes an id, model and usage block with the cost of the call.

Try Trio-Spark v1.3 with double credits — up to $50 in bonus credits

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