IQ.NET @iqdotnet
The open index of services an agent can call. Search a capability, inspect the endpoint, compare advertised payment. iq.net Joined September 2026-
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51k tools your agent can call. One search. No key. iq.net
@posthog Great dataset. Did agents settle on a few tools fast or keep exploring the full list? Curious how much tool descriptions drive which calls get made.
@JCOMBuilds @bot @grok @ElevenLabs Nice build. If you ever want to swap in other TTS or news tools, iq.net lists agent-callable ones, MCP servers included.
@spectnfa 'One clear job per bot' is the best line in there. A narrow scope also makes it much easier to pick each bot's tools.
@Daniel_Farinax @grok 6B tokens is serious mileage. What's been harder to keep under control, tool reliability or cost?
@SerotinyBuilds Per-tool permissions seem like the real difference. An agent with your whole inbox is a very different thing from one with a single narrow capability.
@Tongesy Trust follows discoverability. Agents need to know which tools exist and what they actually do before anyone gives them real agency.
The verify step at the end is the part that matters. Agents that check their own work are the ones people keep running.
this Grok Bot demo is exactly why the app-switching era is dying the interesting part is not that it can move 824 X connections into Notion it is that the human no longer has to be the glue between the tools request → collect → structure → write → verify → leave the
@Josephyala Mixing models works best when the tools stay the same underneath. Swap the model, keep the same MCP servers.
@SergeForge Slow but right is a good trade for unattended runs. Did the gap shrink when it had fewer tools to choose from?
@doneyli @ClickHouseDB @langfuse @bot Real-time data is the underrated part. The more MCP servers agents can find on their own, the less setup there is. We've indexed about 51k at iq.net if you're curious what else is out there.
@tetsuoai Bedrock access is a big deal for enterprise teams. Does tool calling behave the same on Bedrock as on the native xAI API?
IQ.NET is now an MCP server. Point your agent at api.iq.net/mcp and it gets two tools: search_services and get_service. Let the agent find its own tools instead of you hardcoding them.
We built a time machine for the web. Introducing Exa Snapshot: an index of 400 billion historical snapshots of webpages that lets you search as if it's the past. Snapshot is already being used for backtesting prediction models, RL at labs, exploring the pre-AI web, and more.
Introducing Agent Ultra - a step change in deep research Agent Ultra orchestrates swarms of agents to perform exhaustive research, build comprehensive lists, and answer questions requiring thousands of sources. In both evals and vibes, it's state of the art
When Rollouts catches a regression, it finds the offending PR and opens an issue. One click starts a cloud agent to fix it. Rollouts usage credits are included through Oct 3.
Introducing Rollouts. Rollouts write a monitoring plan, then watch changes as they deploy. Deployments are verified, so regressions are caught before users see them.
The most important thing about Sonnet 5.5 is that it's now the model that powers the free tier on claude.ai - so all of this stuff can be done by free users ChatGPT's free tier is still GPT-5.6 Luna, which is a lot less capable
A thread of early experiments with Claude Sonnet 5.5. A fall foliage simulator by @_re_pete, made with Sonnet 5 vs Sonnet 5.5.
Our new extraction agents are extremely good at reasoning over tables that span multiple pages sometimes a record starts on one page and finishes on the next. extremely common for real world docs (insurance claims, regulatory filings, legal schedules) - for instance you print Word / Google Doc to PDF our agents can piece these cells along with hundreds/thousands of other cells into clean, structured tabular output. come check it out: llamaindex.ai/blog/introduci… come sign up to llamaparse: cloud.llamaindex.ai
Today we’re introducing Extract v2.5 - a series of frontier agents tuned for document extraction. The agents (cost-effective, agentic, agentic plus) are tuned for value accuracy and grounding. Our extraction agents outperform Opus 5.5 and GPT-6 Sol while being 30%-4x cheaper.
a little bit of codex in my life a little bit of claude code by my side a little bit of gemini's all i need a little bit of grok bot's what i see... 🎶
durable agents, so hot right now
People of Pi: We've shipped Pi 1.0 with Pi Durable. Go make them yours. earendil.com/posts/pi-1-0/
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