Agent infrastructure is becoming modular fast.
@cline just open-sourced an SDK for building portable coding agents across apps, IDEs, CLIs and more.
Hicap is proud to support it as an inference provider.
Build your agents. We’ll handle the inference layer.
Your AI stack has more residents than your office, and every one of them is charging rent.
Agents, MCPs, APIs, CLIs, and model providers quietly add to the bill.
with Hicap see what’s being used, who owns it, and what it costs, then set budgets and cut waste before it happens
Most teams know how much they spend on AI. Few know exactly where it goes.
Hicap breaks down AI costs by application, agent, feature, and more.
Want that visibility? Give our prompt to your coding agent and let it handle the setup.
https://t.co/Ok4XMWby1S
Your AI bill tripled on a Sunday. Nobody shipped anything that day.
That is the part nobody warns you about. The total goes up, and the invoice has no idea why.
Here it was one small feature stuck in a loop, reading the same codebase over and over. Nothing else changed. Same requests, same answers, three times the cost.
Every request already knows which app it came from. Label it by feature or environment, and a mystery charge becomes a name you can go talk to.
Free AI usage assessments open now. Link in bio.
An invoice tells you what you spent. Not why.
#AIEngineering #FinOps #AITools #DevTools
Your AI bill tells you what you spent. It doesn't tell you who spent it.
Hicap tags every request as it happens, so spend splits by employee, feature, agent, environment, or anything else you choose to send.
Stop guessing who did what.
We’re doing something a little different at Hicap for a limited time.
We’re building AI control layers for companies and giving them out completely free.
We’re taking what we’ve learned from 10+ years of combined experience in systems architecture, plus the last year obsessing over what it actually takes to run AI reliably, securely, and cost-effectively across products and teams.
If you want us to build yours, just head over to https://t.co/JeaJ2wd5Sm.
P.S. Check out our new landing page while you’re there!
Your team uses an AI agent. The spend comes back as one number, no idea what drove it.
Hicap labels every request: agent, feature, environment, whatever you track.
The invoice comes apart. See what each agent and feature cost, bill it back, cut what isn't earning.
If voice is on your roadmap, Grok's Voice Agent API is worth spinning up. Sub-1s responses, ~$0.05/min, drop-in with OpenAI Realtime. Try it on Hicap today.
Voice agents just got easier. Try Grok on Hicap, low latency, low cost, OpenAI Realtime-compatible. One key, one endpoint.
At Hicap, we've spent the last 12+ months helping companies run, control, and govern their AI. Three things come up again and again:
1. Eliminating AI blind spots: As AI scales, spend gets murky fast, which teams, which apps, which models are actually driving the bill? Those blind spots quietly turn into overspend. It's important to see every AI request, broken down by team, app, feature and model.
2. Governance should be automatic: As AI adoption spreads across an organization, each new app and user is a new place for something to slip through. The goal is that every AI interaction across the org stains within the guardrails you set automatically, without slowing anyone down.
3. Cutting AI costs isn't one-size-fits-all: Everyone wants a lower bill, but the right path isn't always clear. For some, it's automatically routing each request to the best model for the task, same quality, lower cost. For others, it's locking in the compute you already use at a discount. The point is to save in the way that best fits how your company and your product.
We're just getting started. If you're scaling AI and feeling any of the above, let's talk
Codex is changing how software gets built.
The next challenge isn’t deploying AI agents.
It’s operating them at scale with visibility, governance, and cost control.
That’s what Hicap is built for.
How are you handling your AI key governance?
In @hicap_ai you spin up applications, assign keys to the right people, track usage per key, and rotate or revoke in one click.
Governance over every API key, one click away. Here's how 👇
Want to try Opus-5 on Hicap?
It only takes two small changes:
1. Update your base URL to Hicap’s endpoint
2. Add your Hicap API key
Everything else stays exactly the same.
You’ll get access to Opus-5 and 100+ other models with full visibility, usage control, and inference optimization.
Ready to try Opus-5 on Hicap? It's NOW live.
It only takes two small updates:
- Switch your base URL to Hicap’s endpoint
- Add your Hicap API key
Everything else stays exactly the same.
Get access to Kimi K3 and 100+ other models, complete with full visibility, usage control, and inference optimization.
Kimi K3 is live on Hicap
2.8T MoE • 1M context • Native vision
Already competing at the very top.
Available with 0 markup through our Unified API.
Open weights July 27.
Moonshot didn’t come to play. 🚀
#KimiK3
Want to try Kimi K3 on Hicap?
It only takes two small changes:
1. Update your base URL to Hicap’s endpoint
2. Add your Hicap API key
Everything else stays exactly the same.
You’ll get access to Kimi K3 and 100+ other models with full visibility, usage control, and inference optimization.