Parallel Decisions API searches the live web to answer typed questions with probabilities and sources. Its listed price is $1 per 1,000 calls.
By Parallel · Released 25 Oct 2026
A decision engine that searches the live web before it answers. You send typed questions about a company, product or policy, and one call returns typed answers with probabilities (or a refusal) plus a shared list of the web pages it used, so it can answer things a model only knows from training data cannot, such as whether a company has an open job right now.
Facts
Access
Hosted API, with a playground; 5,000 free requests to start
Searches the live web per request; citations cover the whole call, not each answer
Latency
VENDOR-REPORTED: 0.56 seconds median on PWS-Decisions, measured by Parallel on 29 Oct 2026 (Pacific).
Claims and sources
Parallel says it costs 10x less than a standalone model vendor reportedsource
Parallel reports 76.22% on its own 300-question PWS-Decisions set with live web search, against Perplexity Decider v1.2 at 50.89%, OpenAI's Decisions API at 41.67% and Jev 1.14 at 33.44%, run without web access or supplied external context. Uniform random guessing is 42.42%. LLMs with native search scored 96.56% to 97.33% at about 16.5 to 28.8 times the cost. Parallel generated these questions from its own customer topics; dataset terms prohibit redistribution. vendor reportedsource
The benchmark blog chart labels Baseten Elephant at 32.4% overall and 32.3% public. The repository records Baseten Mammoth at 45.0% overall and 37.0% public. vendor reportedsource
A small demo with a live site: type a US or Indian stock and two Parallel Decisions calls, through Parallel's free MCP endpoint, assess its technicals and trading activity from the live web and return probabilities and sources.