▸case-01 I need a comprehensive plan to find and gather public lead sources for boutique Shopify design agencies in North America. Please map out the kinds of directories and source categories to target, specific web search strings to locate them, required data points to extract, clear criteria for who qualifies or gets filtered out, and a step-by-step workflow for collecting the data. | fail→pass | 22,313 | 15,687 | -30% | 1 | 1 | 0% | 3,722 | 3,247 | -13% | 0 | 0 | — |
▸case-02 I want to plan how to find public directories of commercial real estate brokers specializing in industrial properties across Texas. Please generate a research blueprint covering directory classifications, suggested source categories, target search queries, fields to collect, qualification filters, and an efficient data extraction workflow. | fail→pass | 24,497 | 14,504 | -41% | 1 | 1 | 0% | 4,249 | 3,166 | -25% | 0 | 0 | — |
▸case-03 We need a research strategy to locate public directories and associations containing Chief Information Security Officers at mid-market B2B SaaS companies. Map out search strings, source categories, directory formats, explicit inclusion/exclusion rules, fields to gather, and an extraction process. | pass→pass | 37,730 | 23,442 | -38% | 1 | 1 | 0% | 2,507 | 2,025 | -19% | 0 | 0 | — |
▸case-04 Create a sourcing framework for finding outpatient medical clinic directors in Florida. Outline the directory categories, web search queries, target schema fields, filtering criteria, and extraction sequence. | fail→fail | 19,738 | 16,490 | -16% | 1 | 1 | 0% | 3,372 | 3,245 | -4% | 0 | 0 | — |
▸case-05 Provide a structured plan to locate publicly available registries of compliance officers working at EU-based fintech startups. Detail the source types, exact search queries, required data attributes, pass/fail criteria, and collection order. | pass→pass | 21,820 | 15,528 | -29% | 1 | 1 | 0% | 3,893 | 2,871 | -26% | 0 | 0 | — |
▸case-06 Draft an explicit planning document for sourcing licensed roofing contractors in the Pacific Northwest. Instead of scraping right away, define the source categories, query examples, data fields, screening filters, and workflow steps. | pass→pass | 21,469 | 14,880 | -31% | 1 | 1 | 0% | 3,744 | 3,020 | -19% | 0 | 0 | — |
▸case-07 Formulate a sourcing research plan for identifying founders of seed-stage artificial intelligence startups in North America. Supply directory classifications, recommended categories, search strings, fields, qualification criteria, and extraction workflow. | fail→fail | 19,446 | 16,187 | -17% | 1 | 1 | 0% | 3,301 | 3,058 | -7% | 0 | 0 | — |
▸case-08 Prepare a directory research plan to discover independent solar energy consultants in California. Structure your plan with directory types, search queries, target fields, filtering rules, and extraction steps. | fail→pass | 19,182 | 18,944 | -1% | 1 | 1 | 0% | 2,708 | 2,722 | +1% | 0 | 0 | — |
▸case-09 Develop a research strategy to find transportation logistics directors who manage fleets over 50 vehicles in the US Midwest. Return directory groupings, search strings, desired fields, qualification boundaries, and collection workflow. | pass→pass | 17,276 | 14,053 | -19% | 1 | 1 | 0% | 3,038 | 2,922 | -4% | 0 | 0 | — |
▸case-10 Construct a sourcing strategy for commercial general contractors in Texas with annual revenue over $10M. Specify directory classifications, search strings, fields to harvest, qualification rules, and sequence. | pass→pass | 19,694 | 14,903 | -24% | 1 | 1 | 0% | 3,472 | 3,032 | -13% | 0 | 0 | — |
▸case-11 Plan how to source managed service providers (MSPs) offering SOC-as-a-service in North America. Produce a plan detailing source categories, search queries, field schema, qualification criteria, and extraction workflow. | fail→pass | 19,482 | 14,755 | -24% | 1 | 1 | 0% | 3,441 | 3,138 | -9% | 0 | 0 | — |
▸case-12 Outline a research plan to map independent physical bookstore owners across the UK. Present target directory types, query templates, attributes to collect, pass/fail rules, and extraction order. | pass→pass | 18,632 | 13,531 | -27% | 1 | 1 | 0% | 3,384 | 2,617 | -23% | 0 | 0 | — |
▸case-13 Generate a directory discovery blueprint for multi-unit fast-casual restaurant franchisees in the US. Detail directory types, category suggestions, search terms, target data fields, inclusion/exclusion rules, and workflow. | pass→pass | 26,903 | 13,507 | -50% | 1 | 1 | 0% | 4,687 | 2,601 | -45% | 0 | 0 | — |
▸case-14 Design a sourcing research plan targeting operating partners at middle-market private equity firms focused on healthcare. Define the search queries, source categories, schema fields, boundary criteria, and workflow. | pass→pass | 20,945 | 16,810 | -20% | 1 | 1 | 0% | 3,723 | 3,276 | -12% | 0 | 0 | — |
▸case-15 Create an explicit plan for locating VP-level regulatory affairs contacts at clinical-stage biotech firms in Massachusetts. Outline source types, query ideas, fields, filtering bounds, and extraction steps. | pass→pass | 16,715 | 16,403 | -2% | 1 | 1 | 0% | 3,021 | 3,283 | +9% | 0 | 0 | — |
▸case-16 Plan a research strategy to uncover general managers at luxury boutique hotels (under 100 rooms) in Southern Europe. Specify directory categories, web queries, field lists, qualification constraints, and processing steps. | fail→pass | 18,335 | 15,982 | -13% | 1 | 1 | 0% | 3,324 | 3,284 | -1% | 0 | 0 | — |
▸case-17 Formulate a directory sourcing document for service directors at franchised auto dealerships in California. Map out source classifications, search strings, fields, inclusion/exclusion rules, and collection sequence. | pass→pass | 23,405 | 14,934 | -36% | 1 | 1 | 0% | 3,946 | 2,970 | -25% | 0 | 0 | — |
▸case-18 Construct a directory research blueprint for General Counsels at enterprise legal tech companies in North America. Detail directory formats, search queries, field schema, screening criteria, and extraction order. | pass→pass | 22,385 | 17,752 | -21% | 1 | 1 | 0% | 4,029 | 3,469 | -14% | 0 | 0 | — |
▸case-19 Produce a sourcing strategy plan to find head brewers at independent craft breweries in the US Pacific Northwest. Define source categories, search queries, data fields, filtering rules, and extraction sequence. | fail→pass | 20,769 | 14,555 | -30% | 1 | 1 | 0% | 3,595 | 2,909 | -19% | 0 | 0 | — |
▸case-20 I already have a list of target directory URLs for Texas real estate brokers. Please write a Python script using BeautifulSoup and Requests to crawl these pages and save the scraped HTML records into a CSV file. | pass→fail | 13,553 | 11,040 | -19% | 1 | 1 | 0% | 2,719 | 2,303 | -15% | 0 | 0 | — |
▸case-21 Here is a CSV file containing 50 company names and domains from our internal database. Please query external APIs to enrich these specific rows with verified phone numbers and direct email addresses. | pass→fail | 9,205 | 4,293 | -53% | 1 | 1 | 0% | 1,676 | 1,038 | -38% | 0 | 0 | — |
▸case-22 Please check whether the URL https://example-trade-association.org/directory is currently active, accessible without a paywall, and returns valid HTTP 200 responses right now. | pass→pass | 13,547 | 4,207 | -69% | 1 | 1 | 0% | 618 | 1,052 | +70% | 0 | 0 | — |