Agent knowledge

DataCrawlPro OKF agent knowledge bundle

A public Open Knowledge Format bundle that organizes DataCrawlPro service facts, responsible-use boundaries, action paths, and structured-data guidance into small Markdown concept files for AI assistants and agent workflows.

Open index.md View llms.txt

What this bundle does

Helps AI assistants understand DataCrawlPro's services without relying on one long scraped page.

Keeps founder-led, AI-assisted, manually reviewed positioning explicit.

Separates public/authorized web scraping from private, login-only, or restricted data.

Connects OKF with schema, FAQ content, sitemap, robots.txt, llms.txt, and action paths.

Avoids claiming guaranteed AI rankings, citations, recommendations, sales, or 100% security accuracy.

OKF files

Markdown concepts with metadata

Each file is directly fetchable and includes YAML frontmatter with a concept type, title, description, resource URL, tags, and timestamp.

index

Agent knowledge index

Navigation map for DataCrawlPro public business knowledge.

https://www.datacrawlpro.com/okf/index.md

organization_profile

AI-ready company profile

Founder-led company profile, service boundary, and public positioning.

https://www.datacrawlpro.com/okf/company/profile.md

offer_catalog

Services and offers

Web scraping, data extraction, Python scraper, AI readiness, pricing, and deliverables.

https://www.datacrawlpro.com/okf/offers/services.md

agent_action_path

Official action paths

Request, contact, tracking, dashboard, and Upwork paths.

https://www.datacrawlpro.com/okf/actions/contact.md

policy

Responsible use notes

Public or authorized data boundary, AI readiness claims, payment safety, and trust notes.

https://www.datacrawlpro.com/okf/policies/responsible-use.md

developer_checklist

Structured data checklist

Schema, OpenGraph, sitemap, llms.txt, OKF, action-path, and monitoring checklist.

https://www.datacrawlpro.com/okf/schema/agent-signals.md

Important nuance

OKF and llms.txt are helpful agent-readable context layers. They do not guarantee AI rankings, citations, recommendations, sales, or complete crawler control. Strong AI readiness still depends on public content quality, schema, FAQs, trust pages, internal links, crawlability, authority signals, and clear contact or request paths.