Spaces:
Sleeping
Sleeping
Information Source Map — Structured-Fact KB
Last updated: 2026-05-15
This file aggregates the source metadata embedded in 40-data/policy_facts/, 40-data/reviews/, and 40-data/premiums/illustrative_premiums.json so every populated fact in the KB can be traced to a PDF, URL, or rate card. J3 verification will fill the verified / last_verified fields downstream.
1. Aggregate Stats
- Total cited facts: 5,616
- policy_facts: 5,460
- insurer_reviews: 65
- premium samples: 91
- Distinct source URLs: 97
- Distinct PDF paths (policy wordings/brochures): 188
- % policy_facts with PDF citation: 98.8%
- % policy_facts with explicit URL: 7.4%
- % review facts with primary URL: 100.0%
- % premium samples with real (non-derived) URL: 40.7%
Source-type breakdown
Policy facts
| source_type | count |
|---|---|
| policy_pdf | 5,046 |
| web_url | 405 |
| missing | 9 |
Reviews
| source_type | count |
|---|---|
| irdai_annual_report | 43 |
| irdai_complaints | 19 |
| irdai | 3 |
Premiums
| source_type | count |
|---|---|
| derived_anchor | 54 |
| insurer_or_other_url | 16 |
| policybazaar_tile | 10 |
| official_rate_card | 9 |
| joinditto_chart | 2 |
2. Coverage by Category
2.1 Policy facts — per-insurer policy counts
| insurer_slug | policies indexed | populated fact rows |
|---|---|---|
| acko | 9 | 203 |
| aditya-birla | 8 | 137 |
| bajaj-allianz | 17 | 301 |
| care-health | 15 | 249 |
| cholamandalam | 6 | 116 |
| go-digit | 6 | 154 |
| hdfc-ergo | 23 | 420 |
| icici-lombard | 17 | 322 |
| iffco-tokio | 6 | 165 |
| indusind-general | 3 | 48 |
| manipalcigna | 8 | 155 |
| national-insurance | 40 | 1,122 |
| new-india | 14 | 178 |
| niva-bupa | 19 | 375 |
| oriental-insurance | 6 | 141 |
| reliance-general | 1 | 9 |
| royal-sundaram | 14 | 414 |
| sbi-general | 12 | 343 |
| star-health | 18 | 372 |
| tata-aig | 11 | 236 |
2.2 Insurer reviews — CSR / complaint coverage
| insurer_slug | CSR % | CSR year | complaints/10K | source_irdai_url present? | source_complaints_url present? |
|---|---|---|---|---|---|
| acko | 96.31 | FY 2023-24 | 16 | yes | yes |
| aditya-birla | 92.97 | 2023-24 | 13 | yes | no |
| bajaj-allianz | 92.24 | 2023-24 | 3 | yes | no |
| care-health | 93.13 | 2023-24 (3-year avg) | 42 | yes | no |
| cholamandalam | 94.5 | FY 2023-24 | 13 | yes | yes |
| go-digit | 90.69 | FY 2023-24 | 19 | yes | yes |
| hdfc-ergo | 99.1 | 2023-24 | 15 | yes | no |
| icici-lombard | 85.0 | 2023-24 | 10 | yes | no |
| iffco-tokio | 96.33 | FY 2023-24 | 41 | yes | yes |
| indusind-general | 86.38 | FY 2024-25 | — | yes | yes |
| manipalcigna | 99.0 | 2023-24 | 24 | yes | no |
| national-insurance | 91.18 | FY 2023-24 | 29 | yes | yes |
| new-india | 95.04 | 2023-24 (by claim count) | 20 | yes | no |
| niva-bupa | 91.62 | 2023-24 (3-year avg through FY25) | 43 | yes | no |
| oriental-insurance | 93.96 | FY 2023-24 | — | yes | yes |
| reliance-general | 98.75 | FY 2023-24 | 5 | yes | yes |
| royal-sundaram | 95.95 | FY 2023-24 | 18 | yes | yes |
| sbi-general | 96.14 | FY 2022-25 (3-yr avg) | 15 | yes | yes |
| star-health | 82.31 | 2023-24 | 52 | yes | no |
| tata-aig | 88.72 | 2023-24 (3-year avg) | 11 | yes | no |
2.3 Premiums — per-policy sample coverage
| policy_id | sample count | real-URL samples | derived samples |
|---|---|---|---|
| aditya-birla-activ-assure-diamond | 5 | 1 | 4 |
| aditya-birla-group-activ-health | 3 | 0 | 3 |
| bajaj-allianz-health-guard | 5 | 1 | 4 |
| bajaj-allianz-silver-health | 3 | 1 | 2 |
| bajaj-allianz-tax-gain | 1 | 1 | 0 |
| care-health-care-advantage | 1 | 1 | 0 |
| care-health-care-classic | 2 | 1 | 1 |
| care-health-care-senior | 3 | 1 | 2 |
| care-health-care-supreme | 5 | 2 | 3 |
| hdfc-ergo-energy | 3 | 0 | 3 |
| hdfc-ergo-optima-plus | 2 | 1 | 1 |
| hdfc-ergo-optima-restore | 3 | 0 | 3 |
| hdfc-ergo-optima-secure | 5 | 2 | 3 |
| icici-lombard-elevate | 4 | 1 | 3 |
| icici-lombard-health-advantedge | 2 | 1 | 1 |
| manipalcigna-prohealth-prime-active | 3 | 1 | 2 |
| new-india-asha-kiran | 2 | 1 | 1 |
| new-india-mediclaim | 3 | 1 | 2 |
| niva-bupa-aspire | 3 | 1 | 2 |
| niva-bupa-health-premia | 3 | 1 | 2 |
| niva-bupa-reassure | 4 | 2 | 2 |
| royal-sundaram-advanced-top-up | 3 | 3 | 0 |
| sbi-general-arogya-supreme | 2 | 2 | 0 |
| star-health-comprehensive | 3 | 1 | 2 |
| star-health-family-health-optima | 5 | 3 | 2 |
| star-health-senior-red-carpet | 5 | 1 | 4 |
| tata-aig-medicare | 3 | 2 | 1 |
| tata-aig-medicare-premier | 5 | 4 | 1 |
3. Needs-source (unverifiable until repaired)
- policy_facts rows lacking any source path/URL or explicitly marked "not extracted": 9
- review rows lacking a primary IRDAI URL: 0
- premium samples derived from anchors (not directly sourced): 54
- premium samples with no URL at all: 0
Top 15 policy_fact fields with missing source metadata
| field | rows missing source |
|---|---|
| network_hospital_count | 2 |
| maternity_coverage | 2 |
| pre_existing_disease_waiting_months | 2 |
| ayush_coverage | 2 |
| cashless_treatment_supported | 1 |
4. How to read the JSON twin
policy_facts[]— one row per populated(policy_id, field)pair, withsource_path(PDF), optionalsource_url,source_quote,confidence, and J3-boundverified/last_verifiedslots.insurer_reviews[]— one row per populated(insurer_slug, metric)pair, with primary IRDAI URL plus optional secondary / insurer-company URLs and the reportingyear.premiums[]— one row per(policy_id, sample_profile)pair withannual_premium_inr,source_url,source_note, and asource_typeofpolicybazaar_tile/joinditto_chart/beshak_review/official_rate_card/derived_anchor.needs_source.*— flat lists of rows where source metadata is absent or explicitly marked missing, so we know exactly what J3 verification cannot yet check.