Agent-Reach: prepare and diagnose an agent’s web-reading tools
Measure Agent-Reach reading quality and operating cost
Evaluate extraction completeness, diagnostic value and upstream usage without treating a free-access claim as a budget.
What you will learn
- Fix a permitted source sample
- Measure the full workflow
- Keep comparisons bounded
Before you start
- Basic command-line and configuration reading
- Ability to work in a disposable authorized environment
Create a read-only record linking channel health to actual retrieval and cited answers without storing account secrets.
Key takeaways
- Reachable content can still be incomplete.
- Upstream services may have independent costs.
- Availability needs a capture date.
Fix a permitted source sample
Choose a small set of public pages and feeds with known answers and timestamps. Include a page where extraction can omit tables or context. Record the original source so you can separate extraction loss from summary mistakes.
For each item, save retrieval outcome, chosen tool and answer completeness. A doctor ok result should be stored as a separate field. It cannot substitute for the document that the user actually wanted to read.
Measure the full workflow
Track dependency setup time, retrieval latency, host model usage and human correction minutes. Add charges from external transcription, search or hosting where applicable. Public-source access and tool licensing do not determine every downstream bill.
Count failures and retries, including results that are reachable but incomplete. A fast summary without the key paragraph may be less useful than a slower extraction that supports the question accurately.
Keep comparisons bounded
Hold source sample, host model and evaluation policy constant when comparing backends. Record capture dates because platforms and pages change. Do not assume an old healthy channel remains available indefinitely.
No live benchmark was executed. Unknown measurements remain null in the example. Any future result should identify the source sample and account conditions rather than promising universal free reading.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Label answers in a permitted source sample.
- 2
Measure retrieval and summary quality separately.
- 3
Include setup, retries and correction effort.
Copy-ready example
{
"experimentProposal": true,
"sources": null,
"retrievalMs": null,
"completeAnswers": null,
"modelUsage": null,
"correctionMinutes": null,
"executed": false
}Frequently asked questions
Does free software make the whole workflow free?
Models, infrastructure and external services may still cost money.
Is lower latency enough?
Check whether the retrieved content actually answers the question.
Sources
- Agent-Reach / README.mdSource checked 2026-09-18
- Agent-Reach / agent_reach/doctor.pySource checked 2026-09-18