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Examples All corpora REST reference

Concall search — real questions, real answers

Things you'd actually ask a junior analyst on Monday morning, with the curl that gets you there and what the live corpus actually says. Every quote below comes from a snippet field in the response — copy and paste the curl, you get the same data back.

Corpus · 17,979 documents · 483 NSE 500 symbols · 2018-08 → 2026-04 (8 years)
Refresh · daily 17:30 UTC = 23:00 IST
Three kinds · TXN earnings call transcript · IP investor presentation deck · NSE NSE-side filing
export GENKA_API_KEY=imk_live_...
H="X-API-Key: $GENKA_API_KEY"

A · What's getting talked about

“Which companies have spoken about margin expansion?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=margin+expansion&limit=10"

The signal clusters in healthcare (BIOCON: “transition underway to sustainable growth, margin expansion and cashflow led value-creation”; FORTIS: “delivered margin expansion compared to the corresponding quarter last year”; ASTERDM at 21% EBITDA margin vs 20% Q3FY25) and EMS / industrial (SYRMA at 11% EBITDA margin, +78% YoY; JYOTICNC at 26.8% EBITDA margin, +37% growth).

Premium consumer shows up too — ABDL on “40%+ gross margins, highest in the mass premium category”, INDHOTEL with 39-40% segment EBITDA. Notably absent: industrial commodities, mass FMCG. Pivot: q=margin+expansion&symbol=<company> for that one company's full narrative across quarters.

“Where are the heaviest planned capex commitments right now?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=capex+guidance&limit=6"

POWERGRID dominates with the “multi-year capex & capitalization runway” deck — transmission build-out tied to renewable evacuation. TEGA calls out a Chile project on track for Q2FY27 commercial production. ACUTAAS points to ₹143 cr 9-month capex for Jhagadia battery chemicals + pilot plant. ABDL announces Phase 2 incremental capex (Jan 2026) across critical value-chain nodes.

The pattern: discrete sectoral surges (transmission grid, battery chemicals, alcohol distilling), not broad-based corporate capex. LLOYDSME discussion frames it Q3 + 9M FY26 as their strongest standalone quarters — cyclical steel capex returning.

“Is rural demand actually coming back? Who's saying so?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=rural+demand+revival&limit=5"

Yes, but reluctantly and tied to GST. EMAMILTD: “rural, which was not performing, we are seeing some growth coming in from rural areas. With this reduction in GST rates, we are very hopeful…”. BOSCHLTD: “strong rural interest for two-wheelers… September GST reforms significantly boosted”. TVSMOTOR notes growth was 0.6% rural vs 3.6% urban — thin, but they thank the GST cut.

So the “revival” is a single-digit pickup catalysed by a tax change, not a structural demand turn. PIDILITIND is being asked the question by analysts — the buy-side wants confirmation that hasn't fully arrived yet.

“Who's deploying real money into AI / data-center infra in India?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=data+center+demand&limit=5"
curl -sH "$H" "https://genka.dev/latest/concalls/search?q=AI+capex&limit=5"

Three distinct stories. ANANTRAJ is the pure-play DC-REIT bet — Delhi-NCR land bank with 6 MW operational + cloud services on ~320 acres of debt-free land (top hits at score 9.4 and 7.7). TCS ran a fireside chat 2025-10-31 explicitly titled “TCS' AI data center investment and opportunity” — large-cap IT building captive infra. CUMMINSIND cites a meaningful data-center revenue contribution of ₹1,271 cr that quarter — the genset / power-backup angle.

Cross-reference into transmission via POWERGRID (top hit on q=AI+capex) — the bottleneck for Indian DC scale is grid-side, not server-side.

B · Macro & sector arcs

“How exposed are Indian companies to Chinese end-demand?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=China+demand&limit=5"

The corpus answer is mostly steel. SAIL repeatedly cites World Steel Association data showing China dominating global production despite reductions in its own consumption — the spillover risk to Indian steel pricing. HEG (graphite electrodes) frames it as an EAF (electric arc furnace) story — ex-China EAF share rose from 44% to 51% (2015-2024) while China's stays at 11%, driving graphite electrode demand outside China. HEG also flags China crude steel output -2.6% YoY due to weak construction.

Pivot: q=Chinese+steel+dumping or q=anti-dumping+duty to find the trade-policy commentary.

“What was the GST 2026 transition impact on FMCG and others?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=GST+rate+change&limit=5"

Universal short-term hit, signs of medium-term tailwind. HINDUNILVR: “quarter reflected a transitory impact of GST changes and prolonged monsoon… EBITDA margin at 23.2% was lower by 90 bps”. DABUR: “temporary disruptions post GST reforms announcement… GST rate reductions in ~66% of the India portfolio likely to boost consumption”. GODREJCP echoes “UVG performance impacted by GST transition in India”.

Cross-sector spread: HDFCLIFE separately on competitive dynamics post-rate-cycle, LEMONTREE calls out renovation + tech + GST impact at 6.4% of revenue this quarter. The shape: 1-2 quarter margin compression for distributors, then volume tailwind from price elasticity.

“Is anyone talking about channel destocking still?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=channel+inventory+destocking&limit=5"

Yes, in three places. BLUEJET healthcare (Feb 2026): “there is clearly some channel inventory for which there is some destocking happening” — pharma intermediates. HAVELLS: “channel stocking for cooling products was impacted by milder start to season” — weather-driven, not demand-driven. RRKABEL on “continued caution in discretionary demand and channel level adjustments”. EMAMILTD + KAJARIACER round out with FMCG and tile-distribution context.

Read: discrete pockets, not broad. The structural destocking wave (2024 FMCG) is over; what remains is event-driven (weather, inventory cycle).

“Who's calling out a clean deleveraging plan?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=deleveraging+plan&limit=5"

NUVOCO cement: “driving efficiency and deleveraging in FY25 amidst macro challenges… achieved volume of 19.4 mmt”. UPL agrochem on platform-led deleveraging post Arysta + ADIA / TPG infusion. ADANIPOWER goes deepest with year-by-year senior-debt-to-equity reduction — outstanding regulatory income of ~₹29,000 cr realised FY18-24 funding the paydown.

The Adani Power story is the loudest in the corpus — multiple decks track the credit-profile evolution from BBB. If you're screening for “balance sheet repair” theses, that's the cleanest standalone example.

C · Historical depth (8y)

“What were Indian companies actually saying during the 2020 lockdown?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=lockdown+disruption&limit=5"

Real-time, not retrospective. Pre-2024 docs were 0 in the corpus before this year's Cloudflare-Worker historical backfill. HINDUNILVR 2020-09 documents the state-by-state lockdown impact on FMCG distribution. RELIANCE 2020-07 on “Q1 covid related national lockdown”. DEEPAKNTR 2020-05: “revenue growth was impacted due to 10 days of lockdown”.

Useful when you want the actual contemporaneous narrative arc rather than a 2024 commentator's reconstruction.

“Did Indian sugar companies meaningfully shift to ethanol?”

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=ethanol+blending&limit=5"

BALRAMCHIN is the central figure — integrated sugar-ethanol-bioplastic, repeatedly discussed: “no revision in ethanol prices resulted in decline in margins… sugarcane crushing during the quarter was ~8.4% higher at 387.6 lac quintals owing to early start”, plus commentary on US ethanol import scares easing. EIDPARRY: when sugar prices trade below ethanol parity, mix shifts — pricing arbitrage logic stated explicitly. DCMSHRIRAM reports across chemicals + sugar & ethanol + fenesta + farm solutions segments.

The thesis is real but margin-fragile — the answer to “did they shift?” is yes, and the answer to “does it print money consistently?” is no, gated entirely by GoI ethanol price revisions.

D · Composed flows (when you want more than the snippet)

“Show me what RELIANCE management has said about capex specifically.”

Symbol-scoped search drops everyone else; you get the full RELIANCE narrative.

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=capex&symbol=RELIANCE&limit=3"

Three RELIANCE-only hits: “capex at 33,000…”, “earnings growth to outpace capex over the next…”, “flat net debt environment and look at the capex versus our cash…”. Reading the three together: the company is signalling capex is plateauing and cash conversion is improving — a multi-quarter shift.

“Show me only the slide decks — transcripts have too much filler.”

kind=IP filters to investor-presentation slide decks. They have order-book numbers + segment EBITDA tables that don't appear in the Q&A transcript.

curl -sH "$H" "https://genka.dev/latest/concalls/search?q=order+book&kind=IP&limit=5"

Top results: RITES (10.3, IP), THERMAX (8.0), ZENTEC (7.4). Order-book disclosure is densest in slides because that's what management chooses to highlight visually. Pivot to kind=TXN for the same query → you'd get analyst Q&A challenging the order-book quality.

“I have a fragment id — pull the full transcript.”

curl -sH "$H" "https://genka.dev/latest/concalls/8592" | jq '.data | {symbol, disclosure_date, kind, text_len: (.text | length)}'

Returns {symbol, kind, disclosure_date, quarter, text}. Bodies range from 5KB (slide decks) to 80KB (full Q&A transcripts). Useful when you've got a snippet hit you want to read in context, or when you're feeding a single fund's last 4 transcripts into your own LLM.

“Just answer the question — I want a synthesised answer with citations, not a hit list.”

curl -sH "$H" -X POST -H "Content-Type: application/json" \
  -d '{"question":"What did RELIANCE management say about FY26 capex guidance?","symbol":"RELIANCE","limit":3}' \
  https://genka.dev/latest/concalls/answer

Returns {answer, citations[]}. Each citation carries an id so [N] markers in answer dereference back via /concalls/{id}. LLM tier (~1.2× upstream cost). Use this when you want one paragraph instead of five snippets — for everything else, plain search is faster and cheaper.