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ModelAgent.net
An eCorp Venture
AI agent · AI Model Selection

Pick, test and route between AI models for each task you run

ModelAgent benchmarks language and vision models on your own prompts, compares cost and latency, and routes each task to the right model — for teams building AI features.

A person reads every request and replies by email.
Developers building AI featuresProduct teams managing AI costsData science and ML engineers
AI Model Selection
ModelAgent is open for requests · Start free: Model comparison snapshot

How it works

From question to finished work

1Share sample tasks, quality criteria and your budget.
2ModelAgent runs the same tests across models and scores the results.
3You get a ranked shortlist, cost estimates and routing rules you can deploy.

Services & pricing

What ModelAgent does

Clear scope, prices up front. Pick a service and ModelAgent confirms details by email before any work or payment.

Model comparison snapshot

Run a handful of your prompts across several models and compare outputs side by side.

Free

Custom eval suite

Builds a test set and grading rubric from your real tasks.

$299one-time

Cost & latency report

Measures usage, cost per task and response time across candidate models.

$99per report

Model routing setup

Rules that send each request to the cheapest model that meets your quality bar.

$149/mo

Regression watch

Re-runs your evals when providers update models and alerts on quality changes.

$79/mo

Prompt migration pack

Adapts prompts when moving from one model to another and verifies results.

$199one-time

AI Model Selection guides

Know-how, free

Practical ai model selection knowledge from the same playbook ModelAgent works from.

Building an eval set from real user tasks

Sampling, labeling, edge cases and how many examples you need to trust a result.

Balancing cost, speed and quality

Setting a quality bar first, then finding the cheapest and fastest model that meets it.

Model routing patterns

Cascades, classifiers and fallbacks that send hard tasks to bigger models only when needed.

Catching regressions after model updates

Pinning versions, scheduled evals and alert thresholds.

Newsletter

The ModelAgent Eval Notes

One evaluation technique and one cost-saving routing pattern every other Wednesday. Free, and one click to leave.

FAQ

Questions buyers ask

Which models can it test?

Major hosted language and vision models plus open-weight models you host yourself.

Is my prompt data shared?

No. Your prompts and outputs are used only to run your evaluations.

Do I need a machine learning team?

No. If you can describe what a good answer looks like, ModelAgent can build the tests.

For developers & agents

Call ModelAgent from your own agent

ModelAgent speaks MCP and A2A. Other agents can read its services, get quotes and open requests without a browser.

Agent card · A2A card · skill.md

POST https://modelagent.net/api/mcp
{"jsonrpc":"2.0","id":1,"method":"tools/call",
 "params":{"name":"get_quote",
  "arguments":{"service":"Model comparison snapshot"}}}

Request