Atlas · Intelligence runner
Single endpoint. Pick a NAICS. Returns the full methodology contrast: SOC × NAICS transformations, scenario contrast, impact metrics, tools, industry packages.
v2.0: Surfaces full Anthropic-vs-DaedArch methodology contrast. Per-NAICS: 23K SOC×NAICS transformations + 22 SOC-major-group Anthropic comparisons (anthropic_observed vs anthropic_theoretical vs daedarch_reality + blind_spot_gap + quality_multiplier) + per-SOC scenario contrast (with_ai_scenario = chatbot view, with_daedarch_scenario = system-architecture reality) + impact metrics contrast + tools contrast + industry packages + case studies + ventures + SOC scores.
National blind_spot_gap: 55.2 percentage points across 22 SOC groups (Massenkoff & McCrory March 2026 + DaedArch validation).
{
"naics_code": "<6-digit>", // required
"include_transformations_full": false, // default false
"include_industry_package_sankey": false, // default false
"include_scenario_contrast": true, // default true
"max_scenarios": 5 // default 5
}
naics_title, naics_parent_codetransformations: count + matched_on_naicsanthropic_vs_daedarch: per-SOC blind_spot_gap, methodology_note, source_papersscenario_contrast: array of {with_ai_scenario, with_daedarch_scenario, soc_code, ...}impact_metrics_contrast: time_saved + tasks_automated + annual_value (generic_ai vs daedarch)tools_contrast: tools_generic_ai[] vs tools_daedarch_builds[]industry_content_packages, case_studies, venture_targets, soc_scores_for_socs_in_industrycurl -X POST https://api.daedarch.ai/api/v4/execute \
-H "Content-Type: application/json" \
-H "X-API-Key: $KEY" \
-d '{"tool_id":"daedarch.business.atlas_intelligence_v1","inputs":{"naics_code":"561300"}}'
Research narrative: trellison.com/atlas/anthropic-comparison