# AI Agent Monitor Competitor Prices | FlyMy.AI

> Build a daily change report for a bounded list of competitor pages, with source URLs and explicit comparison history.

Page: https://flymy.ai/use-cases/monitoring-agent/

Five public pages. A daily change report.

# AI agent to monitor competitor prices

Monitor competitor prices with an agent that checks a fixed source list, records observations and compares them with a retained baseline. Test five public pages before scheduling the job. Return changed values with source URLs and timestamps, and distinguish an unavailable page from a price change. Add delivery only after reviewing the report.

[Build this agent](https://app.flymy.ai/signup) [Read the recipe](https://flymy.ai/use-cases/monitoring-agent/#recipe)

## Build the daily monitoring recipe

1. ### Select five permitted sources List exact public product or pricing URLs and the fields to observe. Use currently available search, browser or connector tools. SERP and review monitoring require their own supported data source and access permissions.
2. ### Define observations and a baseline Request observed price, currency, source URL and timestamp. Choose where your approved workflow retains the previous observation. A missing field or inaccessible page must be reported as unknown, not as zero or a discount.
3. ### Test the comparison and report Run against the fixed list and review the evidence. Confirm that unchanged values remain unchanged and missing data does not trigger a false price alert. Freeze the accepted execution.
4. ### Schedule and inspect the first report Apply the documented schedule to the tested compilation. The sample below is weekdays at 09:00 UTC; choose your intended cadence and timezone. Review the first scheduled result before relying on its notifications.

Documented cron update for the tested monitoring workflow - [source documentation](https://docs.flymy.ai/agents/guides/embedded-resale)

```
curl -fsS --max-time 30 -X PATCH -H "X-API-KEY: $FLYMYAI_API_KEY" \
  -H 'Content-Type: application/json' \
  --data '{"cron_schedule":"0 9 * * 1-5","timezone":"UTC","schedule_variables":{}}' \
  "$FLYMYAI_AGENTS_API_ROOT/compilations/$COMPILATION_ID/"
# Clear it through the same route with {"cron_schedule":""}.
```

Set the API root, key and compilation ID from your configured workflow. Provide its required schedule_variables. This schedules an existing tested workflow; it does not create a scraper or comparison database.

## What you get

Illustrative output - example data

```
source: https://example.com/product
observed_at: example timestamp
previous_price: 49 USD
current_price: 45 USD
change: -4 USD
evidence: source URL and observed value
other_source: unavailable - no price-change claim
```

### Where the result goes

Keep a source-linked report on the execution, or send it through an explicitly connected destination. Configure baseline retention in your workflow or application; the cron setting alone does not establish historical storage.

## Cost and operating limits

A five-source job bounds the starting workload, but browser time and model usage can vary. Cap the source list and output length, track usage and avoid repeated fetches inside each run. [[FACT NEEDED: selected SERP/review connector, its current rate and the target sites allowed for this monitoring job.]]

[Check current pricing](https://flymy.ai/pricing/)

## Choose the right approach

**Implementation choices for this job**

| Approach | What to evaluate |
|---|---|
| Scheduled FlyMy.AI workflow | Use when observations need connected tools plus a reviewed interpretation or delivery step. |
| A deterministic price scraper | Useful when page structure and the required comparison are stable; you operate parsing, scheduling and change history. |
| Manual spot checks | Useful for a small one-off comparison, with explicit notes about observation times and missing sources. |

## Frequently asked questions

**Can I monitor search rankings or reviews too?**

Only after selecting and verifying the available data source and access contract. This price-page recipe does not claim a universal SERP or review API.

**Does an inaccessible page mean the price changed?**

No. Keep the observation unknown and retain the last confirmed baseline separately.

**Where is the previous observation stored?**

Choose and test a storage step or retain it in your application. The schedule does not automatically create comparison history.

## Related jobs

Use case

### [Scheduled AI agents](https://flymy.ai/use-cases/scheduled-agents/)

Schedule a tested agent for a morning report, recurring research or structured output using cron and an explicit timezone.

[Read the guide →](https://flymy.ai/use-cases/scheduled-agents/)

Use case

### [Browser agents with saved logins](https://flymy.ai/use-cases/browser-agents/)

Use a connection-bound saved browser profile for recurring website work, while handling login expiry and human takeover explicitly.

[Read the guide →](https://flymy.ai/use-cases/browser-agents/)

## Sources

[Scheduling and deployment guide](https://docs.flymy.ai/agents/guides/embedded-resale), [Agent quickstart](https://docs.flymy.ai/agents/quickstart), [Tool discovery and operating guide](https://flymy.ai/skill.md), [Pricing](https://flymy.ai/pricing.md)

Sources checked 2026-10-23. Examples are documentation excerpts, not a claim that a paid run has been performed.

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For agents: the FlyMyAI operating guide (sign up, connect, run models, tools and agents) is https://flymy.ai/skill.md, and https://flymy.ai/llms.txt lists the other pages and the documentation.