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Perplexity adds web grounding to its Decisions API through Fast Search

5 articles2 sourcessince Nov 4Last article 2h ago ·

Overview

AISummary of 5 articles

Perplexity says its Decisions API can now search the web before answering when a request sets "mode": "web_grounding".

Fast Search runs one query per question, and the pplx-decider-v1.2 model answers from current web results. Perplexity reports that this mode scores 86% on 100 public PWS-Decisions questions, up from 51% without it, with median latency of 370 ms and p95 of 685 ms.

Perplexity lists the cost as $0.001 per search and $0.02 per 1M tokens. A URL can be passed as the state to ask about a specific page. Its developer post suggests uses such as fact-checking a list of claims, checking whether a pinned package has a newer stable release, and flagging accounts with a new CEO, an acquisition, or layoffs.

A later post from Perplexity CEO Aravind Srinivas says the company is integrating Fast Search into the Decisions API so batch-mode decisions can draw on web facts, with the same $0.001 per request search price.

Written by AI from the articles below · updated Nov 4, 4:35 PM ET

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Developments

5 developments

  1. Nov 4, 4:31 PM ET · 1 article
    Perplexity adds web grounding to its Decisions API
    Aravind Srinivas: Perplexity integrates Fast Search into its Decisions API for web-grounded answers
  2. Nov 4, 4:02 PM ET · 1 article
    Perplexity describes uses for web grounding
    Perplexity Developers: Perplexity describes uses for web grounding in fact-checking and monitoring
  3. Nov 4, 4:02 PM ET · 1 article
    Perplexity explains how to use Fast Search for web-grounded answers
    Perplexity Developers: Perplexity explains using Fast Search to ground answers in web pages
  4. Nov 4, 4:02 PM ET · 1 article
    Perplexity reports web-grounded pplx-decider-v1.2 benchmark results
    Perplexity Developers: Perplexity's pplx-decider-v1.2 scores 86% on PWS-Decisions with web grounding
  5. Nov 4, 4:02 PM ET · 1 article
    Perplexity adds web search to the Decisions API
    Perplexity Developers: Perplexity adds web grounding to its Decisions API

Article timeline

The articles in this story. Times are ET.

Nov 4
  1. Aravind SrinivasOfficial
    Perplexity integrates Fast Search into its Decisions API for web-grounded answers

    AIPerplexity says it is integrating Fast Search into its Decisions API so batch-mode decisions can draw on web facts. Search costs $0.001 per request, and the Decisions API costs $0.02 per 1M input tokens.

    Image from @AravSrinivas's post
  2. Perplexity DevelopersOfficial
    Perplexity describes uses for web grounding in fact-checking and monitoring

    AIPerplexity says web grounding can fact-check a list of claims, check whether a pinned package has a newer stable release, and flag accounts with a new CEO, an acquisition, or layoffs. The post links to a web-grounded cookbook with further guidance.

  3. Perplexity DevelopersOfficial
    Perplexity explains using Fast Search to ground answers in web pages

    AIPerplexity says that when Fast Search is enabled, its results join the state as evidence before the decision model answers. Passing a URL as the state lets users ask about a specific page. Requests cost $0.001 per search and $0.02 per 1M tokens.

    Video from @perplexitydevs's post
  4. Perplexity DevelopersOfficial
    Perplexity's pplx-decider-v1.2 scores 86% on PWS-Decisions with web grounding

    AIPerplexity says pplx-decider-v1.2 with web grounding scores 86% on 100 public PWS-Decisions questions, up from 51% without it. The reported median latency was 370 ms, with p95 at 685 ms.

    Video from @perplexitydevs's post
  5. Perplexity DevelopersOfficial
    Perplexity adds web grounding to its Decisions API

    AIPerplexity says the Decisions API can now search the web before answering, using "mode": "web_grounding". With this mode, Fast Search runs one query per question, so the pplx-decider-v1.2 model answers from current web information rather than only its training data and the state provided.

    Image from @perplexitydevs's post

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