Fresh context for AI agents.
Ask a question, choose a source, and run one clean API call. Desearch returns concise results with sources your agents can use immediately.
Trusted by AI innovators worldwide
Built for teams that need fresh web, social, crawl, and cited AI context in production workflows.
bittensor
From first request to production monitoring
A clean console for API keys, playground testing, usage, errors, and transparent billing metadata.
Built for builders shipping agent products
Move from docs to real calls quickly, then keep cost and reliability visible as traffic grows.
Search quality should move on screen.
As this section enters view, the benchmark bars and trend line draw in to make retrieval quality feel inspectable instead of hidden inside marketing claims.
Text relevance
Answer summaries match the source material.
Evaluation trend
Quality across benchmark families.
Measured on hard agent tasks
Freshness, citation usefulness, semantic match, and source coverage are tracked as product quality inputs.
Scores become retrieval feedback
The same scorecards guide ranking, crawl fallback, social-source coverage, and answer packaging improvements.
Visible proof, not buried claims
Charts make the promise inspectable: where Desearch wins, where the baseline trails, and what should improve next.
Test the APIs your agent will call in production
Search, crawl, and social endpoints stay visible as working demos so builders can move from idea to request payload quickly.
Example Query
Builders are already using Desearch for live agent context
Real comments from users wiring Desearch into research, crypto analysis, and agent workflows.
Totally agree with this, i just connected mine to Bittensor $TAO subnet 22 @desearch_ai with an API end point for X data to help me with subnet analysis and the results are getting where they should be. This could be used by anyone in crypto doing reporting and research and is an incredible opportunity based on pricing.
SN22 is becoming an intelligence layer for agents. And behind agents… come predictions, then portfolio management. Revenue + aligned incentives. The market probably hasn't fully priced this yet.
The forecasting environments just got richer. Starting this Thursday, miners can choose to take on the cost of news retrieval via @desearch_ai The cost limit will move from $0.02 to $0.1 - making our environments ready for heavy forecasting tasks. #SN6 #TAO
// Desearch integration complete crustty now has full social sentiment guidance and its integrated (weighted) in his subnet valuations. All thanks to Bittensor SN22 @desearch_ai Desearch vs. native X API below. I gave him both and asked to research @HermesSubnet, no bias.
Build with the people shipping live search.
Discord should feel useful, not like a generic social footer. Use it to get implementation help, test hard agent queries, follow API changes, and shape the next search and crawl surfaces.
API examples
Copy real search, crawl, and X data requests.
Quality feedback
Share hard queries and benchmark edge cases.
Team access
Talk directly with builders operating the network.
Discord
Fastest path to the team: API questions, agent workflow help, launch notes, and builder feedback.
Join DiscordTelegram
Follow network updates, release notes, and ecosystem announcements without the noise.
Open TelegramX
Track product examples, API launches, benchmark notes, and Bittensor/Subnet 22 updates.
Follow on XConnect with the company, hiring updates, partner news, and longer-form product announcements.
View LinkedInGive your agents live context.
Start with one API key, test real requests in the playground, and ship search-augmented agents with current web and social data.