Production AI · Verified inference

Frontier quality for your production AI, at a fraction of the cost.

Pareta is a verified-inference provider built for repeatable production AI workloads.

Point your existing OpenAI client to Pareta and set model="auto". Pareta routes requests to Pareta-hosted specialists, verifies the result, and uses a frontier model whenever needed to maintain the quality bar.

$0.01/ 1M input tokens
$0.05/ 1M output tokens
When a Pareta specialist produces the answer — one rate for every specialist, no model tiers. A frontier-served answer bills at the provider's list price instead.
Get an API key — $30 free View the quickstart →
No card required · OpenAI-compatible · Python and TypeScript

Same OpenAI client. One base URL. One model ID.

from openai import OpenAI

client = OpenAI(
    api_key=PARETA_API_KEY,
    base_url="https://api.pareta.ai/v1",
)

response = client.chat.completions.create(
    model="auto",
    messages=[...],
)

Structured output requires response_format with type: "json_schema"; schema instructions given only in the prompt are not enforced. See the structured outputs section of the docs.

Built for AI tasks your application repeats

A recurring task inside a product or workflowThe same job runs again and again as part of an application path — tickets to classify, invoices to extract, notes to code, passages to embed or rerank — not a one-off prompt.
A stable task distribution with varying inputs“Repeatable” means the kind of request stays the same while every input differs. Identical requests are not required; a consistent objective is.
A definable output contractThe output can be stated as a contract: a label from an enum, a set of schema-valid fields, a list of codes, a vector, a ranking. In the API this is usually response_format with a json_schema.
Quality you can measureResults can be scored by labels, an evaluator, or acceptance rules — which is what lets a quality bar be defined, measured, and checked on your own data.

Published benchmarks

Five examples. On each published specialist benchmark Pareta matched or beat the strongest frontier baseline, with 30–140× lower serving cost.

Task Quality — best frontier = 100 Cost advantage — vs same frontier
Intent classificationmacro-F1 · vs Claude Opus
113%
88×
Text embeddingnDCG@10 · vs OpenAI text-embedding-3-large
109%
32×
ICD-10 medical codingmicro-F1 · vs GPT-5.5
106%
138×
Invoice extractionF1 · vision · vs Claude Opus
103%
142×
Document rerankingnDCG@10 · vs Gemini Flash
101%
31×

The path tested is stated per row on the benchmarks page — benchmark harness, direct endpoint, or the product path through auto; none of the figures include route-mix or escalation statistics. See the methodology →

How auto works

Four steps inside one request; your application sees a single completion.

01

Select

Pareta routes the request to the Pareta-hosted specialist that holds the workload’s quality bar; if no deployed specialist holds the bar, the request is served by a frontier model.
02

Verify

The specialist answer is checked against the workload quality bar before it is returned.
03

Escalate when needed

If the specialist does not meet the quality bar, Pareta uses a frontier model; frontier-served responses are returned as served.
04

Bill once

You pay only for the model that produces the final response.

How verification works →

Production confidence

Structured outputsresponse_format with json_schema is the contract: it constrains decoding and the result is validated against your schema before delivery.Production readiness →
Transparent billingEvery auto completion carries the exact charge and an estimated frontier comparison.How billing works →
Explicit errorsPast the specialist deadline a request escalates to a frontier model; a request no path can serve returns an explicit error and is not billed; an empty balance returns HTTP 402. Never a silent empty answer.Limits and error behavior →
Security & dataNo training on your data; prompts and responses retained up to 30 days, then deleted; operated from the US.Security & data →

Pay for the model that answers

Pareta specialist produces the final response
$0.01 / 1M input tokens
$0.05 / 1M output tokens
Frontier model produces the final response
The provider’s list price
Included
Routing, verification, retries, and non-serving attempts are included.

$30 credit on signup, no card required. See full pricing →

Make your first request today

Use the OpenAI client already in your application, set the model ID to auto, and compare Pareta with your current frontier model on representative traffic before switching production.

Get an API key — $30 free Benchmark on your data →
$30 in credit · no card required · OpenAI-compatible