Ecosystem All ecosystem services Tickertape ↗

Tickertape — the human research desk

The cleanest research dashboard for end users on Indian markets — mobile-first, opinionated, fast.

Decision matrix

What Tickertape is great at

• Consumer dashboard. Web + mobile. Charts, scorecards, holdings tracker, watchlists.
• Screener. Click-through filter UI across stocks and mutual funds.
• MMI & widgets. Market Mood Index, deal mood, forecast bars, sentiment.
• Pro tier. Subscription unlocks deeper screener / portfolio features for end users.
• API status. No public developer API. No MCP. Closed surface.
• What it does not ship. Programmatic access, agent integration, raw XBRL filings, concall transcripts as a corpus.

Where Genka complements Tickertape

• JSON API + MCP. Same data, but addressable from code with X-API-Key auth, frozen IDs, snapshot cache semantics.
• Quarterly XBRL fundamentals. /companies/{symbol}/ratios — FY17 onward, primary-source NSE filings, audit URL per number.
• Concall corpus. ~23,000 transcripts; BM25 search; POST /concalls/answer for grounded LLM Q&A with citations.
• MF screener as API. 4,700 funds; mf_screener?period=3y&sharpe_absolute_gte=0.9.
• 30y bhavcopy. Daily prices back to 1995-01-02; corp-action-adjusted returns via /prices/{symbol}/latest.

Compose them

Build a UI for users on top of Tickertape (or your own front end), and run the agent loop on Genka:

# Pattern A: Send humans to Tickertape, give your agent Genka.
# Your app's "View on Tickertape" link sends users to a chart;
# your agent calls Genka for the underlying numbers.

# Pattern B: Watch a Genka saved query, alert the user.
POST /v1/saved-queries
{
  "name": "PPFAS Sharpe drops",
  "endpoint": "/v1/mf/ppfas-parag-parikh-flexi-cap/metrics",
  "webhook_url": "https://your.app/genka-hook",
  "trigger": { "path": "sharpe_absolute", "op": "lt", "value": 1.0 }
}

# When fired, deep-link the user into Tickertape for the visual.

Note on data lineage

Genka uses Tickertape as one of its facts_source values for fund TER, AUM, exit load and similar fund metadata (the SEBI-mandated AMC factsheets remain the legal system of record). Each fund response carries facts_source and facts_updated_on so you can audit. We aren't a Tickertape competitor on the consumer surface; we're an API for code that Tickertape doesn't ship.

Relevant Genka endpoints

• GET /v1/mf/{slug} — one fund (with facts_source: tickertape)
• GET /v1/mf/screener — programmatic MF filter
• GET /v1/companies/{symbol}/ratios — quarterly fundamentals
• POST /v1/concalls/answer — grounded Q&A
• POST /v1/saved-queries — webhook on threshold cross

Full catalog: /llms.txt

Working around Tickertape — what's available

• There is no public API. Tickertape is a consumer product. Their MMI, scorecards, and screener results are not available programmatically. If you need the same data in code, you're either scraping (which their ToS forbids) or using a primary source like NSE/SEBI/AMFI directly.
• Their methodology is documented. Tickertape publishes notes on how they compute scorecards, MMI, and other derived metrics. Useful reference reading even if you reimplement against primary sources.
• Pro tier unlocks more screens. If you're a human user, Pro gets you deeper portfolio analytics, custom screen sharing, and more historical depth. As a developer, this doesn't change the API picture (still none).
• Where Genka uses them. We attribute Tickertape per-row in meta.sources[] for fund TER/AUM. AMC factsheets remain the legal system of record; Tickertape is one of several normalised mirrors we cross-validate against.