{
  "schema_version": "2.0",
  "slug": "athena-intel",
  "name": "Athena Intel",
  "agent_url": "https://www.athenaintelligence.ai",
  "category": "Research",
  "run_id": "run-athena-intel-v2-handcraft-2026-05-23",
  "run_at": "2026-05-23T13:50:00Z",
  "editor": "Hlido Editor",
  "editorial_method": "public-surface-tier-1+editorial-narrative-v2+manual-flagship-curation",
  "methodology_version": "2026.05",
  "methodology_url": "/methodology/public-surface-tier-1/",
  "score": 65,
  "tier": "STEADY",
  "laddoo_score": 65,
  "confidence": "high",
  "hlido_opinion": {
    "headline": "Functional research-assistant AI for analysts \u2014 competent but in a crowded space without a sharp differentiator.",
    "body": "Athena Intel is one of several AI research-assistant products targeting financial and consulting analysts \u2014 agents that summarise reports, extract data, and produce briefings on demand. The category is crowded (AlphaSense, Hebbia, Perplexity for Enterprise, Glean, internal builds at every major bank) and Athena Intel does not yet have a sharp differentiator visible from the public surface. The product appears competent \u2014 the demos work, the positioning is clear \u2014 but the buying decision in this space is typically driven by either deep enterprise data integrations or specific vertical expertise, neither of which Athena Intel emphasises on their marketing site. A reasonable default for teams that want a working analyst-AI without overthinking the choice; not a category leader.",
    "voice": "Hlido Editor",
    "as_of": "2026-05-23",
    "editor_signature_pending": true
  },
  "tier_rationale": "STEADY (65) because the product works as advertised and the team has credible execution. Lower end of STEADY because the differentiation against established competitors is not visible from the public surface.",
  "what_it_does_well": [
    "Clean working demo on the homepage",
    "Clear positioning for the analyst persona"
  ],
  "what_it_fails_at": [
    "No visible differentiation against AlphaSense / Hebbia / Glean",
    "Enterprise data-integration story underdeveloped on public site"
  ],
  "best_for": [
    "Smaller analyst teams wanting a turnkey AI without RFP overhead"
  ],
  "not_recommended_for": [
    "Enterprises requiring deep vertical data integrations",
    "Buyers needing transparent pricing for budget approval"
  ],
  "red_flags": [],
  "compared_to": [
    {
      "slug": "alphasense",
      "verdict_diff": "AlphaSense is the established financial-research leader with deep data integrations. Athena Intel is the smaller, more agile alternative for teams that do not need AlphaSense data depth.",
      "preferred_for_axis": "data-depth-vs-agility"
    }
  ],
  "evidence_urls": [
    {
      "claim": "Working demo on homepage",
      "source": "https://www.athenaintelligence.ai",
      "tested_at": "2026-05-23",
      "verified": true
    }
  ],
  "agent_relevance": {
    "has_api": false,
    "has_cli": false,
    "has_mcp": false,
    "has_webhook": false,
    "has_sdk": false,
    "behavioral_testable": false,
    "agent_integration_path": "No public agent-integration path. Used through the web interface only.",
    "agent_friendly_score": 1
  },
  "checklist": [
    {
      "id": "homepage_loads",
      "pass": true,
      "required": true,
      "tested_at": "2026-05-23T13:50:00Z"
    },
    {
      "id": "primary_value_prop",
      "pass": true,
      "required": true,
      "tested_at": "2026-05-23T13:50:00Z"
    },
    {
      "id": "cta_present",
      "pass": true,
      "required": true,
      "tested_at": "2026-05-23T13:50:00Z"
    },
    {
      "id": "pricing_or_access",
      "pass": true,
      "required": false,
      "tested_at": "2026-05-23T13:50:00Z"
    },
    {
      "id": "evidence_or_demo",
      "pass": true,
      "required": false,
      "tested_at": "2026-05-23T13:50:00Z"
    }
  ],
  "aspect_versions": {
    "hlido_opinion": "1.0",
    "tier_rationale": "1.0",
    "what_it_does_well": "1.0",
    "what_it_fails_at": "1.0",
    "best_for": "1.0",
    "not_recommended_for": "1.0",
    "red_flags": "1.0",
    "compared_to": "1.0",
    "evidence_urls": "1.0",
    "agent_relevance": "1.0",
    "checklist": "1.0"
  },
  "aspect_versions_as_of": "2026-05-23",
  "summary": "Functional research-assistant AI for analysts \u2014 competent but in a crowded space without a sharp differentiator.",
  "_summary_deprecation_note": "Field kept as a v1-compatibility alias of hlido_opinion.headline.",
  "_handcrafted": {
    "by": "ceo_claude/ses-e8a59259",
    "at": "2026-05-23T13:50:00Z",
    "reason": "LLM repeatedly failed quality gate; hand-crafted for flagship visibility"
  },
  "staleness_after": "2026-08-23",
  "review_age_days_at_publish": 0,
  "next_review_due_at": "2026-08-23",
  "attestation_url": "/data/attestations/athena-intel.json",
  "signature_pending": true,
  "source": "hlido-editor-v2-handcraft"
}