MH MediaHarvester Web Context API

Trust and Reliability

Cache Freshness Policies for Live Brand Data

Choose refresh windows for logos, screenshots, markdown and style tokens without wasting requests or serving stale results.

Trust and Reliability workflow
Request Policy Check Allowed Fetch Audit Metadata Safe Outcome

The problem worth solving

Choose refresh windows for logos, screenshots, markdown and style tokens without wasting requests or serving stale results.

Growth teams need evidence that makes a decision sharper, not a pile of scraped facts presented as strategy.

A workflow that teams can actually ship

Define the segment or hypothesis first, gather public company and positioning context, record supporting pages, then use the structured result in a human-reviewed experiment.

For this pattern the practical entrypoint is `GET /v1/compliance/error-codes`, combined with whichever workflow endpoint or presentation layer the product requires.

Workflow map

Request Policy Check Allowed Fetch Audit Metadata Safe Outcome
An engineering team is adding website extraction to an enterprise product and must explain failures to security and customers.

Scenario in practice

An engineering team is adding website extraction to an enterprise product and must explain failures to security and customers.

Start with one observable workflow, keep source URLs available during review and expand only after the result is reliably useful.

Try the capability

GET /v1/compliance/error-codes Local API key: mh-localhost-dev-key
GET /v1/compliance/error-codes

Implementation notes

Public web context can improve account research and competitive understanding; it should not be used to infer private behavior or justify spam.

When the result affects a customer-facing experience, add an approval or override path rather than treating extraction output as immutable truth.

Signals to monitor

Track analyst time, evidence completeness, correction rate, qualified responses and experiment performance against an unenriched baseline.

Metrics turn a promising prototype into a maintainable product capability and make regressions easier to catch.

Try it with MediaHarvester

Open the local playground, choose the feature matching `GET /v1/compliance/error-codes` and test with a public or authorized target.

The local project includes API, documentation, SDK, CLI, MCP and no-code surfaces so the same idea can move from exploration into implementation.

FAQ

Questions teams ask before implementing this workflow

What does this trust and reliability workflow return?

It uses GET /v1/compliance/error-codes and related MediaHarvester surfaces to return structured context together with metadata appropriate to the workflow.

Can I test this locally?

Yes. Run the local service at http://127.0.0.1:8013 and send X-API-Key: mh-localhost-dev-key to protected API routes.

Does it work with private or blocked pages?

The platform is designed for publicly accessible or authorized sources. Verification, login, permission and robots restrictions are reported rather than bypassed.

Can this be automated?

The same API surfaces are available through CLI, Python and TypeScript SDKs, MCP tools and starter no-code integration templates.

How do I keep the result current?

Use cache freshness controls such as maxAgeMs where exposed, and schedule refreshes in a production worker only as frequently as the business case needs.