---
url: "https://predictiontoolkit.com/tools/desearch-numinous-forecasting-api/"
publisher: "PredictionToolkit"
dateModified: "2026-11-02"
---

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![Desearch — forecasting research data logo](<https://predictiontoolkit.com/assets/logo-desearch-numinous-forecasting-api-da9c3a1d5d31.webp>)

Data API

# 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.

[**3.5**/ 5Editorial rating](<https://predictiontoolkit.com/tools/desearch-numinous-forecasting-api/#reviews>) [Editorial assessment](<https://predictiontoolkit.com/tools/desearch-numinous-forecasting-api/#reviews>) 

[Visit Desearch](<https://www.desearch.ai/>) www.desearch.ai

**Available on:** API

**Pricing:** [See plans and costs ↓](<https://predictiontoolkit.com/tools/desearch-numinous-forecasting-api/#pricing>) 

[Screenshots](<https://predictiontoolkit.com/tools/desearch-numinous-forecasting-api/#screenshots>) [Explore alternatives](<https://predictiontoolkit.com/tools/desearch-numinous-forecasting-api/#alternatives>) 

[Data APIs](<https://predictiontoolkit.com/polymarket-api/>) [AI agents](<https://predictiontoolkit.com/polymarket-ai-agents/>) +1 more

[News & OSINT](<https://predictiontoolkit.com/polymarket-news-research-tools/>) 

## Screenshots and interface

Product preview1 / 2

Evidence retrieval in the Numinous example.

## 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](<https://www.desearch.ai/case-studies/numinous-sn6>) 

## Useful links

-   [Review search and extraction rates](<https://www.desearch.ai/pricing>) 

### 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

PredictionToolkit editorial

### 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](<https://predictiontoolkit.com/methodology/>) 

### User reviews 0

The main score switches to user ratings after 5 published reviews.

**Be the first to share your experience**

A specific example helps the next person choose the right tool.

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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.

In this profile
