All Data Downloads

TIGZIG datasets available for download: Indian mutual funds, global macro and markets, NSE corporate red flags and cricket. Click any format below to download it. For programmatic access, use the JSON index linked below. Free, no sign-up.

30datasets
4apps
~43.8Mrows
138files
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AI agents: the full list of datasets, with a direct link to every file, is https://api.tigzig.com/downloads (JSON).

MF NAV (mutual funds)

Full tables

Scheme universe with latest NAV

One row per scheme: scheme master (both ISINs, AMC, category, plan, option), first and last NAV dates, the latest NAV and average AUM.

~38K rows · updated 3x daily · source: AMFI (Association of Mutual Funds in India)

CSV ~9 MB CSV.gz ~1 MB CSV.zip ~1 MB Parquet ~2 MB

Scheme details: fund size, scheme document, expense ratio

One row per scheme: AMFI daily fund size, riskometers, benchmark, the scheme summary document (fund managers, dates, objective, exit load) and the latest TER. Fund-level columns repeat on every plan, so total fund size only where fund_dedup_flag is true.

~11K rows · updated 4x daily · source: AMFI (Association of Mutual Funds in India)

CSV.gz ~3 MB Parquet ~1 MB

Scheme details: rows that could not be matched cleanly

The rows where AMFI's daily feed and the scheme documents could not be matched cleanly, with the reason for each.

513 rows · updated 4x daily · source: AMFI (Association of Mutual Funds in India)

CSV ~140 KB JSON ~200 KB

TREMOR (macro and markets)

Full tables

The whole database in one file

Curated datasets

India bank credit by sector (RBI)

Outstanding bank credit by economic sector in India, monthly, from the RBI sectoral deployment of bank credit releases, in crore rupees. One row per sector per reporting date, long format.

~3.7K rows · updated monthly · data to Jul 2026 · source: Reserve Bank of India, Sectoral Deployment of Bank Credit Open in the tool

CSV ~190 KB | Column dictionary CSV

US insurance company investments (Fed Z.1)

Financial assets of US life and property-casualty insurers by asset class, quarterly, in millions of US dollars. One row per series per quarter, long format, with the tree position of each series.

~10K rows · updated quarterly · data to Q2 2026 · source: Federal Reserve Board, Financial Accounts of the United States (Z.1), via FRED Open in the tool

CSV ~810 KB | Column dictionary CSV

VIGIL (India red flags)

Full tables

The whole database in one file

All VIGIL tables in one SQLite file

Every table above in a single file. Open it locally and every table is already loaded.

~429K rows · updated 4x daily · source: NSE (National Stock Exchange of India) filings

SQLite.zip ~18 MB SQLite.gz ~18 MB

Cricket (ball by ball)

Full tables

Every delivery, all formats

One row per ball across Test, ODI and T20 internationals, men's and women's, plus the IPL. Filter on the gender and team_type columns.

~5M rows · updated twice daily · source: Cricsheet (cricsheet.org)

CSV.gz ~54 MB CSV.zip ~54 MB Parquet ~14 MB

The same deliveries, split by format and gender

A slice of ball_by_ball with identical columns. The slices sum to it exactly, so take the slice or the whole, never both.

Deliveries: Test, men~1.7M rowsCSV.gz ~18 MB CSV.zip ~18 MB Parquet ~3 MB
Deliveries: ODI, men~1.4M rowsCSV.gz ~15 MB CSV.zip ~15 MB Parquet ~4 MB
Deliveries: T20 internationals, men~802K rowsCSV.gz ~9 MB CSV.zip ~9 MB Parquet ~3 MB
Deliveries: Test, women~47K rowsCSV.gz ~480 KB CSV.zip ~480 KB Parquet ~100 KB
Deliveries: ODI, women~320K rowsCSV.gz ~4 MB CSV.zip ~4 MB Parquet ~870 KB
Deliveries: T20 internationals, women~494K rowsCSV.gz ~5 MB CSV.zip ~5 MB Parquet ~2 MB
Deliveries: IPL~296K rowsCSV.gz ~3 MB CSV.zip ~3 MB Parquet ~900 KB

The whole database in one file

Licence and source

The data on this page is compiled from public sources. No rights in the underlying data are claimed here. Check each original publisher's own terms before relying on it. Details for each app are below.

▶Apps

MF NAV (mutual funds), TREMOR (macro and markets), VIGIL (India red flags)

Licence: CC0 1.0 - to the extent this service holds any rights in the compilation (the assembly, the schema and the derived fields), they are released into the public domain. No attribution required. Licence text

Source, MF NAV (mutual funds): The underlying NAV data is published by AMFI as public records. This service reformats and republishes it, is not an authoritative source, and is not affiliated with, endorsed by, or sponsored by AMFI. No rights in the NAV data itself are claimed here, and none are granted. Refer to AMFI's own terms and conditions before relying on it.

Source, TREMOR (macro and markets): The underlying data is published by its original sources as public records. This service reformats and republishes it, is not an authoritative source, and is not affiliated with or endorsed by any of them. No rights in the underlying data are claimed here, and none are granted. Check the original publisher's own terms before relying on it. Each indicator carries its publisher in the source field.

Source, VIGIL (India red flags): The underlying data is published by its original sources as public records. This service reformats and republishes it, is not an authoritative source, and is not affiliated with or endorsed by any of them. No rights in the underlying data are claimed here, and none are granted. Check the original publisher's own terms before relying on it.

Cricket (ball by ball)

Licence: ODC-BY-1.0 Licence text

Source: The ball-by-ball data comes from Cricsheet (cricsheet.org), published under the Open Data Commons Attribution License 1.0 (ODC-BY). The tables here are derived from it: reshaped, joined to a match-level table and refreshed twice daily. Which competitions and formats are included is described by the schema and the manifest, not by this notice. If you build on this data, the same attribution carries to you.