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Desearch: collect auditable evidence for your own forecast

Desearch supplies search and extraction APIs for the evidence-gathering stage of forecasting. The old inventory label “Numinous Forecasting API” now leads to a Desearch case study; Numinous evaluation and scoring remain separate from retrieved data.

Visit Desearchwww.desearch.ai
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What is Desearch — forecasting research data?

Web Search returns titles, snippets and links; Extract provides cleaned page text. AI Search adds synthesized output with sources, while X Search brings posts and conversations as another evidence stream. Combine the APIs while preserving source selection and timestamps.

The Numinous example describes retrieval during isolated agent evaluation, not an API-generated calibrated probability or a trade. Keep retrieval, interpretation and forecast output distinct, and budget each returned item, search, page or post under its own unit. Larger workloads can negotiate enterprise limits and service terms.

Who it is for

  • Developers adding current evidence to forecasting agents.
  • Researchers retrieving documents for market theses.
  • Builders combining web and social search.

Features and coverage

  • Web Search

    Retrieve titles, snippets and source links.

  • AI Search

    Request synthesized answers with cited sources.

  • Page extraction

    Retrieve cleaned source text.

  • X Search

    Query posts and conversations separately.

  • Composable retrieval

    Connect search and extraction in an evidence workflow.

  • Numinous case study

    Inspect evidence retrieval in isolated forecasting-agent evaluation.

  • Usage units

    Each API has its own billing unit.

  • Enterprise capacity

    Negotiate higher limits and service terms for larger workloads.

Workflows with Desearch — forecasting research data

Research an event

Search the exact question, fetch primary documents and retain their dates with the forecast.

Separate research stages

Keep retrieval, interpretation and probability output auditable.

Budget by unit

Estimate searches, returned items, extracted pages and posts separately.

Pricing and total cost

Reference rates per 1,000 units are AI Search US$0.40/items, Web Search US$1/searches, Extract US$0.50/pages and X Search US$0.15/posts. Console shows account-specific rates.

Fees and usage costs

  • X Search has a 10-post minimum per request, capped by the requested post count.

Getting started

Before you start: Retrieved evidence still needs interpretation and probability modeling.

  1. Create an API account and choose evidence-collection endpoints.
  2. Run a small request, inspect sources and review usage in Console.
  3. Integrate retrieval with your own forecasting logic.

The service supplies evidence, not a standalone probability or trading bot.

Read the Numinous integration case study

Useful links

What to check

  • Retrieved evidence still needs interpretation and probability modeling.
  • The old inventory name does not describe the current case-study destination; Numinous scoring is separate.
  • Select reliable sources and preserve timestamps.

A closer look

Ratings & reviews

Editorial rating
3.5/ 5
0 user reviews

Our take on Desearch — forecasting research data

Search and extraction APIs with distinct billing units are useful forecasting components. Evidence is not a calibrated prediction, and request minimums affect actual costs.

Based on documented features, setup and access terms. How we rate

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Frequently asked questions about Desearch — forecasting research data

Does Desearch assign the Numinous score?

Numinous validators provide the described evaluation.

Can I mix APIs?

Yes, while accounting for each separate usage unit.

Does it execute Polymarket orders?

Order execution is outside this evidence service’s role.