Free Mutual Fund NAV API for India - Revamped. AI Ready. 18,000+ Schemes Since 2008 from AMFI.
Published: July 4, 2026
Revamped the free Mutual Fund NAV API for India. Made it easier to work with AI.. and for automations. Usage suddenly went up past few weeks.. so I have added more capacity and made the whole thing more flexible.
Daily NAVs for 18,000+ schemes since 2008, straight from AMFI. Free, no sign up, no API key.
You should see latencies and errors significantly down.. and you can now give both AMFI Code or ISIN or even mix it up - I am auto-detecting at the backend. Plus many more things.. check the two pager attached.
One thing I will call out - Claude Cowork as well as Codex can work with the API directly. Point them at the docs page and they take it from there and run an analysis based on your directions. Claude in Excel just needs a thin MCP wrapper on top. Open source wrapper coming soon.
API Docs: tigzig.com -> APIs -> MF NAV
If you'd rather use the user interface then tigzig.com -> MFPRO - run advanced analytics on up to 200 schemes in one shot.. risk, returns (including rolling return options), alpha, betas, drawdowns.
Want the whole database? Two ways
Human way: go to MFPRO app at https://www.tigzig.com/mfpro -> Data & API. Click the button and the file downloads. Parquet, CSV, TSV, or SQLite.
AI / API way: ask your AI to send out one GET request on /mf/v1/download and all 20.5M+ rows land as a single file.
Sizes to keep in mind: Parquet about 109 MB, CSV about 132 MB compressed, SQLite about 462 MB compressed. The /downloads/manifest endpoint gives current sizes and row counts, worth a check before you pull. Parquet loads straight into pandas in one line and you can start processing right away.
And if you are running your own analysis
Every metric in MFPRO ships with a validation pack.
Run a preset selection, run the validations, and you get a zip: the validation report, any variances flagged, and the actual Python code that produced the numbers, ready to run as main.py from your local disk against the NAV file.
The UI computes on DuckDB SQL and the validation recomputes in pure Python, and the pack shows both so you can see they tally. If you want ready-to-use, tested code for these metrics, that is it. Your Claude Code or Cowork can also take that code and set it up fresh for you.
Facing any issue with the API, DM me, use the feedback button on the site, or just tell your AI to check llms.txt on tigzig.com and send me feedback. It will figure it out.
MF NAV API - 2-page overview
Browse the pages or download the PDF
