# Celeris-1 Decision (slim)

> Celeris-1 Decision is a hosted multimodal diffusion model from Celeris, a Marqo Inc research lab. Its HTTP API answers typed questions about text, structured data and images with probabilities and optional explanations.

- Full: https://www.anchorterminal.com/tools/celeris-1-decision.md (~5,400 tokens) · this version ~1,580 tokens · JSON https://www.anchorterminal.com/tools/celeris-1-decision.json · canonical https://www.anchorterminal.com/tools/celeris-1-decision
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

**D · 49.3/100 · rank #708 of 842 · #10 in Decision models · not agent-ready · confidence medium**


Assessment: Typed probabilities, image inputs and optional explanations suit routing and classification inside an agent. Both System One and OpenAI Decisions request formats are documented. The service remains early access under its terms, activation can queue, and prepaid credit expires after 30 days. The published accuracy and latency figures are Celeris measurements, not Anchor Terminal tests.

## Facts

- Kind: Model API · vendor: Celeris (Marqo Inc) · category: Decision models · legal entity: Marqo Inc · provenance 61/100
- Endpoint: `https://inference.celeris.ai/celeris-1-decision/v1/systemone` (HTTP)
- Auth: API key · pricing: Pay per use · x402: no · licence: Proprietary hosted model under Celeris terms of service
- Probe metrics: not measured yet (probes haven't run)
- Surface graded: The hosted celeris-1-decision API. System One at /v1/systemone and OpenAI Decisions format at /v1/decisions share the model and rate limits.
- Question types: System One uses noul, choice and score. The Decisions format uses predicate, choice and score. Answers include probabilities; explanations are optional.
- Request limits: 512 questions, reduced to 64 with explanations; 512 choices; 64 score levels; eight images of at most 25 megapixels each; 8 MiB request body.
- SDK compatibility: Celeris documents the Jev Python SDK for System One and OpenAI Python SDK 3.26.0 or later for Decisions. These are compatible clients from other vendors, not Celeris-owned packages.
- Context and streaming: No exact decision-model token window found. The 131,072-token window on the models page belongs to the separate chat models. Decision responses do not stream.
- Rate limits: Shared per workspace and model, with 429 and Retry-After. No numeric sustained request rate found.
- Data handling: Usage records are retained for 90 days. An explicit prompt-retention period and API training exclusion were not found in the reviewed security and privacy documents.
- Availability: The launch advertises live access. The quickstart says activation is usually immediate, while the activation page documents a capacity queue and the terms still describe early access.
- Prices: Decision input $0.04 per 1M tokens; Decision output free per 1M tokens

- Scores: Reliability 40, Performance pending, Schema & documentation 60, Agent ergonomics 80, Security & auth 45, Payments & pricing 20, Task success pending, Maintenance & community 40, Transparency & trust 53 · total over the 7 assessed categories
- Why: Reliability, Component status and incident history earn 20. Only one day of history is possible for this model, so incident evidence earns 5, not a clean… · Schema & documentation, No public machine-readable decision contract found (0). · Agent ergonomics, Compact probability answers earn 25. Multiple questions, bounded options and image controls earn 15 of 20; no exact token window or decision… · Security & auth, Revocable bearer keys earn 20. Workspace isolation earns 10 of 20 for least privilege, but no scoped inference permissions or per-key limits… · Payments & pricing, Public per-token prices earn 20. No machine-payment protocol found (0). · Maintenance & community, The dated 8 October decision-model launch earns 30. No decision-model deprecation notice period or release history found (0). · Transparency & trust, Closed model with service terms earns 15. Privacy and security statements explain processing and 90-day usage records, but not prompt retent…
- Sources: 18, open questions: 6, both in the full twin
- Capabilities: inference.decision
- JSON: https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json
- Verify (for the vendor): the badge `https://www.anchorterminal.com/badges/celeris-1-decision.svg` or a link to https://www.anchorterminal.com/tools/celeris-1-decision from a page on celeris.ai or one of its subdomains, then `POST https://www.anchorterminal.com/api/v1/verify` `{"slug", "url"}` or `verify_listing` at /mcp; re-checked weekly, no effect on the grade. Snippets in the full twin.

## Before you call it

1. Use the decision model path and matching model field. This model has no chat, Responses or models endpoint.
2. Use at most 512 questions per request, or 64 with explanations. Both endpoints reject streaming.
3. Preserve x_celeris in a custom Jev SDK response model when reading explanations. The default response type drops it.
4. Retry 429 with Retry-After and backoff. Stop on 402 until workspace credit is replenished.
5. Read usage.input_tokens for cost, including images and request overhead. Track credit expiry separately from token consumption.

## Connect

```bash
curl https://inference.celeris.ai/celeris-1-decision/v1/systemone \
  -H "Authorization: Bearer $CELERIS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"celeris-1-decision","state":"The customer requests a refund for a duplicate charge.","questions":{"refund":{"type":"noul","instructions":"The customer is asking for a refund."}},"x_celeris":{"explain":true}}'
```

## Similar tools

| Tool | Grade | Score | Shared capabilities | Slim |
| --- | --- | --- | --- | --- |
| OpenAI Decisions API | BB | 71.5 | inference.decision | https://www.anchorterminal.com/tools/openai-decisions-api.min.md |
| Decider | B | 69.5 | inference.decision | https://www.anchorterminal.com/tools/decider.min.md |
| Laya | B | 69.2 | inference.decision | https://www.anchorterminal.com/tools/convai-laya.min.md |
| Kev | B | 67.4 | inference.decision | https://www.anchorterminal.com/tools/jaredpalmer-kev.min.md |
| Vela 2.0 | B | 66.5 | inference.decision | https://www.anchorterminal.com/tools/vela.min.md |


## Panel reviews (0, desk reviews from public material, no calls made)