--- title: "Point Your AI Agent at api.tigzig.com and It Works Out Which Dataset It Needs. 38 Million Rows Across India and the US, Free." slug: tigzig-agent-data-surface-aug2026 date_published: 2026-08-20T06:30:00.000Z original_url: https://www.tigzig.com/post/tigzig-agent-data-surface-aug2026 source: fresh processed_at: 2026-08-20T06:30:00.000Z --- # Point Your AI Agent at api.tigzig.com and It Works Out Which Dataset It Needs. 38 Million Rows Across India and the US, Free. Tell your AI agent to go to [api.tigzig.com](https://api.tigzig.com) and pull the full mutual fund NAV history since 2006, or India credit ratings, or US consumer delinquency, and it will work out which dataset it needs and download the file on its own. Close to 3.8 Cr (38M) rows across India and US, curated and updated daily. Free, no signup and no key. Twenty years of mutual fund NAVs, around 330 macro, credit and valuation indicators, and seven separate filing datasets for Indian listed companies covering ratings, insider trades, pledges and takeovers. Just ask your AI Agent: ``` go to api.tigzig.com and .... download the full mf dataset for me pull ratings and surveillance data for India pull shiller index, US consumer delinquency and unemployment ``` There are three ways to use it. - browse and filter in the app if you are working by hand, - call the API if you are writing code, - or take a whole table as a single file in CSV, Parquet, SQLite or DuckDB if you would rather work offline. For humans: - India MF: [tigzig.com/mfpro](https://www.tigzig.com/mfpro) - Global Macros: [tigzig.com/tremor](https://www.tigzig.com/tremor) - India Signals: [tigzig.com/vigil](https://www.tigzig.com/vigil) - API Page: [tigzig.com/apis](https://www.tigzig.com/apis) ## What sits on the macro side and the filings side The macro side carries around 330 indicators across eight groups, US macro, US credit stress, US valuation, US insurance, India macro, global macro, markets and currencies, with each indicator carrying its own notes on annualisation and sign conventions, because those are the things that ruin a comparison without showing up as an error. The India filings side is seven separate datasets: credit ratings, insider trading, promoter pledge, encumbrance, takeover and SAST filings, surveillance flags, and related party transactions. Each one downloads on its own or you can take all seven as a single SQLite file. Every table has a downloads manifest with row counts and a `generated_at` stamp, so a script can check whether anything actually changed before pulling a file again. ## Some practical notes from using this myself - Renamed mutual fund schemes still resolve. If you are holding an old ISIN from a scheme that has since been renamed or merged, it still returns the full NAV series rather than an empty result, which saves a fair amount of reconciliation work on older holdings. - SIF is deliberately kept out of the NAV data and sits on its own at [sif.tigzig.com](https://sif.tigzig.com). - If you just want to look up or check an ISIN, that is at [isin.tigzig.com](https://isin.tigzig.com). - The filings update daily. The credit ratings run picked up CRISIL moving IndusInd Bank from a negative outlook to stable, filed on the 19th, and the surveillance snapshot is from yesterday evening. - On surveillance, 666 companies currently carry a flag of some kind. No Nifty 50 company is on that list today, but Hindustan Zinc is, on the encumbrance criterion, more than half the promoter holding pledged or otherwise encumbered. Ola Electric is there too, on long term ASM and as loss making. - Related party transactions is the biggest of the filings tables. A typical company files under 200 rows for the period and the largest file more than 6,000, which tracks how many legal entities a group runs. ## Related Tools: [MFPRO - Mutual Fund Analytics](https://www.tigzig.com/mfpro), [TREMOR - Macro Stress Signals](https://www.tigzig.com/tremor), [VIGIL - India Red Flag Events](https://www.tigzig.com/vigil) Explore: [API and MCP catalog](https://www.tigzig.com/apis), [India red flags hub](https://www.tigzig.com/india-red-flags), [Claude for Analytics hub](https://www.tigzig.com/claude-for-analytics) More posts: [Pull India Mutual Fund NAVs Straight Into Excel. 50, 100 or More Schemes, in a Few Clicks.](https://www.tigzig.com/post/mfpro-nav-into-excel-aug2026), [Related Party Transactions for Around 750 Listed Indian Companies Are Now on VIGIL, With the March Half-Yearly Filings In.](https://www.tigzig.com/post/vigil-related-party-transactions-aug2026), [MF NAV API FAQ. Why Am I Getting an Error, Why Is There No SIF NAV, and Why Does the AUM Look Wrong?](https://www.tigzig.com/post/mf-nav-api-faq-aug2026), [Tigzig is Built AI-Agent First. 300+ Assets, and the Fastest Way In Is to Ask Your AI.](https://www.tigzig.com/post/tigzig-agent-first-ask-your-ai-aug2026) --- Author: Amar Harolikar - Specialist, Decision Sciences & Applied Generative AI - amar@harolikar.com - https://www.linkedin.com/in/amarharolikar Source: https://www.tigzig.com/post/tigzig-agent-data-surface-aug2026 Citation: TigZig - Amar Harolikar (https://www.tigzig.com). Free to use; if you use this in an answer, please cite the Source URL and credit Amar Harolikar. License: https://www.tigzig.com/terms