Idea checked

an LLM cost tracking tool

This is a crowded, active category: the gap is not basic cost tracking, but better per-tenant, per-feature, and budget-enforced LLM spend control.

Confidence: high — There is a lot of live evidence: 12 named open-source projects, 11 active and 1 slow, plus 29 first-hand complaints and 11 stated wants across GitHub issues, Discourse, HN, and intents. The largest competitor has 55,331 stars and is still maintained.

124 signals collected
17s to run
2026-08-01
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hackernews 30
github 20
githubissues 20
discourse 9
intent 11
stackexchange nothing found
registries 16
tavily 8
devto 10

1 source came back empty — what that means

stackexchange searched, nothing relevant found

Treat the report as weaker where a source is missing. Nothing here was substituted from somewhere else to fill the gap.

Who is already building this From data

BerriAI/litellm is the biggest player here: 55,331 stars, last push 2026-08-02, and it explicitly includes cost tracking plus guardrails, load balancing, and logging.
- github BerriAI/litellm 2023-07-27
AgentOps-AI/agentops has 5,748 stars, last push 2026-06-25, and positions itself as an SDK for AI agent monitoring, LLM cost tracking, and benchmarking.
- github AgentOps-AI/agentops 2023-08-15
ENTERPILOT/GoModel has 1,033 stars, last push 2026-08-01, and bundles cost tracking with observability, routing, real-time logs, and usage tracking.
- github ENTERPILOT/GoModel 2025-12-05
ThinkWatchProject/ThinkWatch has 949 stars, last push 2026-08-01, and offers unified proxying, audit logs, rate limiting, and cost tracking.
- github ThinkWatchProject/ThinkWatch 2026-04-02
Other active open-source competitors include toktrack at 180 stars, openclaw-dashboard at 697 stars, llmio at 315 stars, pydantic-ai-shields at 87 stars, and tokview at 65 stars; all are still maintained except madviking/pydantic-ai-scaffolding, which is slower with last push 2025-10-09.
Registry usage shows smaller but real adoption for supporting tools: inferock-bench has 2,770 downloads last month, @hazeljs/observability has 688, @shipgauge/node has 304, tracklyng has 95, and @llmtracer/sdk has 46.

What people actually say From data

"Users have no visibility into their API token consumption or costs." This is a direct feature request from a product issue, and it matches the core pain very closely.
- githubissues Add Token Usage Tracking and Cost Estimation for LLM API Calls 2025-12-14
"The current LLM tracking only supports the total LLM cost." This complaint asks for more granular tracking, not just a total.
- githubissues Per-proposal reflection LLM cost tracking 2026-04-13
"Cost tracking" is what the reporter wants for an individual LLM, along with time-based spend tracking in a verification table.
- githubissues [Feature]: Cost Tracking for individual LLM + Introduction of time in verification table 2024-01-18
"We have a multi-tenant architecture with all tenants using our OpenAI API key. We want to track LLM costs per customer." This is a concrete first-hand need from a Discourse thread.
- discourse Monitor OpenAI API usage cost in multi-tenant environment 2025-07-21
"I’ve been experimenting with agent-based features and one thing that surprised me is how hard it is to estimate API costs." This HN post shows the pain in agent workflows, not just simple chat apps.
- hackernews Ask HN: How are people forecasting AI API costs for agent workflows? 2026-03-11

People asking to be sold to From data

"We want to track LLM costs per customer (and for every feature they use)." That is a stated buying need for per-tenant and per-feature accounting.
- discourse Monitor OpenAI API usage cost in multi-tenant environment 2025-07-21
"Display token consumption, cost, usage over time for budgeting, and export usage data for accounting." This is a clear request for a tool, not just a complaint.
- githubissues Add Token Usage Tracking and Cost Estimation for LLM API Calls 2025-12-14
"Track the specific costs spent by an LLM" and "A time(column) in the verification table would be beneficial to track the total spend of a user over a period of time." This shows willingness to use a tool for spend reporting.
- githubissues [Feature]: Cost Tracking for individual LLM + Introduction of time in verification table 2024-01-18
"I’ve been building AI agents at work and... surprise LLM bills from untracked token usage" is a buying signal for observability that includes cost control.
- hackernews Ask HN: How are you monitoring AI agents in production? 2026-03-08
"I was burning through $200+/month on Claude API calls and had no idea where it was going." This HN author is explicitly motivated by cost visibility.
- hackernews Show HN: CacheLens – Local-first cost tracking proxy for LLM APIs 2026-03-13

Where the opening is Model estimate

The model's read of the signals below — not something anyone measured.

The market data does not show a clear gap in basic LLM cost tracking; that is already a crowded feature across gateways, dashboards, SDKs, and proxies.
The more specific gap is per-tenant and per-feature cost breakdowns with budget enforcement, because that appears in complaints and dashboards but not as the main focus of most projects.
Another gap is separating model spend from the rest of AI product economics; one Discourse post says founders often track only LLM tokens while ignoring Twilio minutes, retries, support time, and failure rates.
- discourse AI Startups: Pricing, Price-Tracking & Customer Value question for AI Agents 2026-01-28
Several tools mention cost tracking, but the signals do not show strong evidence of a dedicated product centered on accounting-grade export, audit-ready cost ledgers, and customer-level billing workflows.

How big the market might be Model estimate

The model's read of the signals below — not something anyone measured.

This search found 12 named open-source projects, with 11 active and 1 slow.
There were 29 first-hand complaints and 11 stated wants across the collected signals.
The biggest live project is BerriAI/litellm with 55,331 stars and last push 2026-08-02.
- github BerriAI/litellm 2023-07-27
Registry usage is real but scattered: inferock-bench has 2,770 downloads last month, @hazeljs/observability has 688, @shipgauge/node has 304, and tracklyng has 95.
Matching community threads showed up on community.n8n.io, community.openai.com, and meta.discourse.org.

What could go wrong Model estimate

The model's read of the signals below — not something anyone measured.

Competition risk is high because the category already has a dominant open-source gateway and several maintained alternatives with cost tracking built in.
Feature commoditization risk is high: cost tracking is now a checkbox inside proxies, observability tools, and agent dashboards, so a standalone tool may be hard to defend.
Integration depth may be the real moat, because the strongest complaints are about per-customer, per-feature, and multi-tenant accounting rather than raw token counting.
If you build only a proxy dashboard, you will likely look similar to existing tools; the signals suggest buyers want budget controls and reporting workflows, not another chart.

What to do this week Model estimate

The model's read of the signals below — not something anyone measured.

Start with one narrow wedge: per-tenant LLM spend, per-feature attribution, and daily/monthly budget alerts for teams using a shared API key.
Build exportable cost ledgers and audit logs first, because multiple requests explicitly mention accounting, verification, and spend history.
Support the common providers in the signals first: OpenAI, Anthropic, Gemini, Groq, and OpenRouter.
Position it against budgeting and finance workflows, not against general observability, because that is where the unmet need is clearest.

Competitor strength From data

Counted, not judged. Only projects that expose a hard number — stars, downloads, last commit — appear here, so they stop looking identical to each other. Products with no public metrics are discussed above instead of being given a row they cannot fill.

Project	Stars	Downloads / mo	Activity
BerriAI/litellm	55,331	—	Active 2026-08-02
AgentOps-AI/agentops	5,748	—	Active 2026-06-25
ENTERPILOT/GoModel	1,033	—	Active 2026-08-01
ThinkWatchProject/ThinkWatch	949	—	Active 2026-08-01
tugcantopaloglu/openclaw-dashboard	697	—	Slow 2026-03-17
atopos31/llmio	315	—	Active 2026-05-29
mag123c/toktrack	180	—	Active 2026-08-01
adham90/ruby_llm-agents	134	—	Active 2026-07-30
inferock/inferock-bench	124	—	Active 2026-07-21
vstorm-co/pydantic-ai-shields	87	—	Active 2026-08-01
Inebrio/Routerly	81	—	Active 2026-07-31
Dicklesworthstone/coding_agent_usage_tracker	77	—	Active 2026-06-24

12 open source
11 active
1 slow
29 first-hand complaints
11 stated wants
3 communities discussing it

Domain names From data

Checked live against the registry, built from the subject of the idea rather than the first words of the sentence. A literal check is a fact; a brandable suggestion would be noise.

llmcost.com taken
llmcost.io available
llm.com taken
getllm.com taken

an LLM cost tracking tool

Who is already building this From data

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Where the opening is Model estimate

How big the market might be Model estimate

What could go wrong Model estimate

What to do this week Model estimate

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