What Is a Decentralized Search Engine? How Desearch Is Building Search on Bittensor
A primer on miners, validators, and the Bittensor incentives behind decentralized search.
Read articleMake the web useful to your agents
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View case studiesBenchmarks
Retrieval quality across five benchmark families
A reproducible Desearch evaluation against a representative baseline. Scores are out of 100; higher is better.
Family-by-family scores
Score / 100 · higher is better
| Benchmark family | What it tests | Desearch | Representative baseline |
|---|---|---|---|
| FreshQA | Questions that require fresh, current knowledge. | 86 | 70 |
| BrowseComp | Complex web-browsing and multi-hop retrieval tasks. | 78 | 66 |
| DeepSearch | Deep, multi-step search and synthesis. | 82 | 63 |
| FRAMES | Retrieval and factuality across framed queries. | 88 | 72 |
| HLE | Hard reasoning-style evaluation. | 74 | 58 |
Desearch in numbers
An index, built in layers.
Total searchable pages
Search activity
Crawl activity
What builders say
Selected excerpts from builders using Desearch for research, trading, and agent workflows. Lightly edited for readability.
ExponentialReed
@ExponentialReed
I just connected mine to Bittensor TAO subnet 22, Desearch, with an API endpoint for X data to help me with subnet analysis.
The results are getting where they should be.
53912.9K views
CryptoZPunisher
@CryptoZPunisher
SN22 is becoming an intelligence layer for agents. And behind agents come predictions, then portfolio management.
Revenue and aligned incentives. The market probably hasn't fully priced this yet.
43103,886 views
Numinous AI
@numinous_ai
The forecasting environments just got richer.
Starting this Thursday, miners can choose to take on the cost of news retrieval via Desearch.
53165,849 views
vaNlabs
@vaNlabs
Desearch integration complete.
crustty now has full social sentiment guidance, and it's integrated (weighted) in his subnet valuations. All thanks to Bittensor SN22, Desearch.
2853,537 views
Angry Dave
@AngryDavee
Desearch AI is somewhat like Google but decentralized and smarter.
AI-powered search to deliver smart, summarized results. APIs for developers to integrate decentralized search.
206770 views
tao_Alph
@tao_Alph
With the Desearch API, Vericore pulls signals from X and Reddit to verify miner outputs, while miners use the same API to add context and deliver better results.
Vericore's predictive evidence gathering with AI scoring becomes more comprehensive.
155848 views
Selected reading
Read the system, then build.
How to Integrate Search APIs with LangChain
A step-by-step guide for adding Desearch retrieval to a LangChain tool pipeline.
Read article
How to Build AI Agents with Search APIs
A practical walkthrough for giving an agent a search function, response schema, and API authentication.
Read article
Real-Time Search APIs: Managing Latency at Scale
A guide to measuring p95 and p99, caching, and other latency tradeoffs in search workloads.
Read article
Security & trust
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FAQ
Questions before
you start.
Get to know the APIs, find your integration, and make your first request.
Read the docsDesearch gives AI agents and applications current, source-linked context from the web and social platforms. Use it to search, extract page content, retrieve social data, or generate an answer grounded in the returned sources.
Use Search to find links, snippets, highlights, and an optional summary across selected sources. Use Extract when you already have a URL and need clean page content. Use the X API for posts, profiles, replies, retweeters, and trends, or Web Search for SERP-style results without an AI summary.
Traditional search APIs usually return a ranked list of links. Desearch packages structured results for agents, including source URLs, relevant passages, dates when available, and an optional summary alongside the sources. Web search, page extraction, and social retrieval share one API key and developer workflow.
Yes. Choose from the web, X, Reddit, Wikipedia, YouTube, Hacker News, and arXiv for each Search request. You can also apply a date filter and request links only or links with a final summary.
Search supports recency filters and includes publication dates when a source provides them. Extract fetches the current version of a URL instead of returning a cached page snapshot. Exact freshness still depends on the source and endpoint you use.
Search returns structured results with a title, source link, snippet, relevant highlights, and publication date when available. Ask for links only when your agent will do the reasoning, or include a final summary when you want an answer alongside the supporting sources.
Call the REST API directly, use the Python or JavaScript SDK, or connect through MCP. Desearch also provides guides for LangChain, LlamaIndex, CrewAI, ElizaOS, OpenClaw, and function-calling workflows.
Pricing is usage-based and varies by endpoint, source, and volume. Successful billable responses expose the request cost in USD and usage metadata, while Desearch Console shows your balance, request history, and current rates.
Start building for free
Your agent can set Desearch up itself. Copy one line, paste it into Claude Code, Codex, Cursor or VS Code, and it installs the MCP server and verifies the key.
- 1
Create a key
Sign in to the console. No card needed to read the docs or browse the playground.
- 2
Hand it to your agent
Paste the onboarding prompt. Your agent reads agents.md and wires itself up.
- 3
Ship
Search, crawl and X data behind one key, one bill, one account.
Agent onboarding prompt
Use curl to read www.desearch.ai/agents.md and follow it to set up Desearch
Paste it into Claude Code, Codex, Cursor or VS Code. Your agent reads agents.md, installs the MCP server and verifies the key.