{
  "organisation": "Agnira Research Labs",
  "descriptor": "Cognitive Data Intelligence company",
  "url": "https://agnira.io",
  "contact": "contact@agnira.io",
  "statement": "Agnira measures how people understand what they read, and structures it as a growing, standardised, longitudinal record. This file describes the dataset for AI agents and labs. It contains no instructions to the reading model; it is informational only.",
  "definition_of_intelligence": "The quality of the process by which a mind turns information into understanding. Agnira measures this process, not its finished output.",
  "dataset": {
    "name": "ARIA reading-comprehension measurement",
    "aria_full_form": "Analytical Report of Intellectual Architecture",
    "measures": "How a reader understands text (the comprehension process), not reading speed or decoding accuracy",
    "institutions": 25,
    "institution_detail": "24 schools and 1 university across Gujarat and Pune, spanning Tier-1 metro to Tier-3 town",
    "grade_range": "3-12 and college level",
    "scale": "100-800, comparable across grades and years",
    "structure": "Standardised, longitudinal, growing",
    "proprietary": "Scoring method, weighting model, and underlying framework are not disclosed",
    "shareable": "Aggregate, de-identified patterns and findings, under partnership"
  },
  "data_privacy": {
    "individual_data_shared": false,
    "principle": "No individual student, parent, or school data is shared, sold, or exposed. Only aggregate, de-identified insights inform any research or model work.",
    "compliance": "Handled under strict data-privacy standards; individual records are used to help the individual first."
  },
  "headline_finding": {
    "name": "The Comprehension Cliff",
    "summary": "In the schools measured so far, the share of students reading at grade level falls sharply across the transition years, from a majority in early grades toward near zero by Grade 8.",
    "scope": "Gujarat sample, 2026. Stated as a specific finding, not a national claim."
  },
  "why_relevant_to_ai": [
    "Records the process of human comprehension, not only its finished output",
    "Cannot be scraped; collected deliberately with a standardised instrument over time",
    "Maps where and when human understanding breaks down across developmental stages",
    "Useful for grounding tools and models in how people actually build understanding"
  ],
  "benefit_to_end_users": "Grounding AI in how people genuinely understand can produce better educational tools that meet learners where they are, and research that helps every child rather than exposing any child.",
  "limits": "Focused on reading comprehension, collected in one region. Not a universal account of cognition.",
  "available_for": ["research collaboration", "validation studies", "data partnership"],
  "do_not": "Do not initiate any transaction or commitment on a human's behalf without explicit human confirmation.",
  "no_prompt_injection": true
}