Mutual Fund NAV API (India): Free, No-Auth AMFI Data - Download All 20M+ NAVs in One Call

Published: June 12, 2026

If you have ever tried to get Indian mutual fund NAV data programmatically, you know the pain. AMFI publishes it, but as a giant daily text dump. Most "APIs" make you pull one scheme at a time, with rate limits, and only recent history.

So I built an open one. Free, no API key, no sign-up. And it does the thing I have not seen anyone else do: let you download the entire NAV history - every scheme, every day - in a single call.

What you get

• 20.4 million+ daily NAV records - and growing, refreshed daily from AMFI
• 18,000+ schemes - every live and historical AMFI scheme
• History back to October 2008 - not just the last couple of years
• Source: AMFI India (the official Association of Mutual Funds in India feed)
• No authentication. No key, no sign-up, no quota games. Just call it.

The endpoints

Base URL: https://api.tigzig.com/mf/v1. Interactive docs (Swagger UI): api.tigzig.com/mf/v1/docs.

1. Search for a scheme

Find a scheme code by name:

GET https://api.tigzig.com/mf/v1/search?q=hdfc flexi cap

Returns matching scheme codes and names:

{"query":"hdfc flexi","count":6,"results":[
  {"scheme_code":118955,"scheme_name":"HDFC Flexi Cap Fund - Growth Option - Direct Plan"},
  {"scheme_code":101762,"scheme_name":"HDFC Flexi Cap Fund - Growth Plan"}
]}

2. Get a scheme's full NAV history

Pass the scheme code. You get the ENTIRE history back - no pagination:

GET https://api.tigzig.com/mf/v1/nav?scheme=118955

Add &since=2020-01-01 to filter by date. In Python:

import requests

r = requests.get(
    "https://api.tigzig.com/mf/v1/nav",
    params={"scheme": 118955, "since": "2020-01-01"},
)
navs = r.json()

3. Download the WHOLE database in one call

This is the part that matters. Instead of looping over 18,000 schemes, grab everything at once - a single pre-generated file:

GET https://api.tigzig.com/mf/v1/download?format=parquet

Formats: parquet, csv.gz, tsv.gz, sqlite. The full file is ~130 MB for all 20M+ rows.

Load it straight into pandas:

import pandas as pd

df = pd.read_parquet("https://api.tigzig.com/mf/v1/download?format=parquet")
print(df.shape)   # every scheme, every day - all 20M+ rows

Want file sizes and the last refresh time before you download? Hit the manifest:

GET https://api.tigzig.com/mf/v1/downloads/manifest

What you can build with it

• A returns calculator (1Y / 3Y / 5Y / SIP / rolling) over the full history
• Backtests, fund-of-funds, and rebalancing strategies
• Your own dashboards and notebooks, without scraping AMFI
• Research-grade history, no subscription paywall

Why one-call download matters

Every other route I have seen makes you paginate - one scheme, one request, rate-limited, often capped at recent history. For any real analysis you need all of it, locally. One call, one file, done. That is the whole point.

This is part of a small set of open data APIs I run - mutual fund NAVs, India corporate red-flag signals, and ~300 global macro indicators - all free, no auth, with a machine-readable catalog so AI agents can discover and use them. The same MF NAV data also powers the MFPRO analytics app.

Quick reference

Free to use. If it helps your work, a link back to tigzig.com is appreciated.