PORTFOLIO

Decision systems for the Indian power sector.

Each product is a working contract: pre-emptive endpoint reference, sample request and response, source citations, and a clear roadmap status. The shared spine — knowledge graph, time-series grid layer, regulatory intelligence engine — means cross-product calls compose cleanly. Pricing and access live in one place at energymap.in/pricing.

ENTERPRISE API · OPEN ACCESS

Landed ₹/kWh for any C&I site in India, across every PPA structure.

Indian C&I PPA economics live in 30 SERC tariff orders that revise every six to nine months. The Bharat Landed-Cost API ingests every order, every IEX and PXIL clearing block, and every regulatory amendment, and returns the real landed ₹/kWh for any consumer location, voltage class, contract demand, and load profile. Grid retail, Green Open Access, group captive, RTM, and hybrid RE+BESS — compared on one call, with the source order cited and a regulatory-risk delta since the last revision.

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ENTERPRISE API · IES TASKFORCE TRACK

Substation headroom, queue depth, and forward congestion at every ISTS substation in India.

The single most-asked question in Indian renewables — is there room at this substation — has not had a clean answer. CTUIL connectivity LOAs, CEA capacity-addition data, STU substation lists, RLDC outage records, and ISTS expansion plans live in different silos. Today the answer comes from a phone call to a friendly engineer at the relevant LDC. Connectivity is now scarcer than land. The ISTS Hosting Capacity Atlas reads every public source, joins them on a substation-by-substation graph, and returns the answer in JSON — built as a TSP-conformant reference implementation under the IES v0.5 substation data model.

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ENTERPRISE API · RISK ANALYTICS

Forward curtailment and capture rate at substation resolution, P50 and P90.

Curtailment is the largest unpriced risk in Indian renewables. Karnataka curtailed solar materially through FY24, Tamil Nadu wind through monsoon, Rajasthan transmission-driven cuts. PPA tariffs are still bid as if curtailment is zero. As BESS arrives, the question shifts from will I be curtailed to what is my forward capture rate at substation X in 2028 given queue depth and ISTS constraints — and no one answers it quantitatively in India today. This API does. Production-cost dispatch, queue-depth-aware capture rates, methodology versioning on every response.

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ENTERPRISE API · CARBON ACCOUNTING

15-minute, state-level grid carbon intensity for India — and the hourly-matching engine that uses it.

India's grid carbon factors have been poorly characterised at granular spatial and temporal resolution. There is no equivalent of Electricity Maps for India — no 15-minute, state-level, audit-grade carbon intensity API. Annual paper-matching for corporate RE claims hides the truth: a company with a daytime solar PPA can still consume coal-heavy power in evening peaks. The Time-Block Carbon API publishes two strictly separated signals — a location-based average for Scope 2 reporting and an operational marginal signal for load shifting — with a full audit trail back to the underlying RLDC, NLDC, IEX, and CEA snapshots.

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ENTERPRISE API · STORAGE

Forward BESS revenue across DAM, RTM, ancillary, and DSM avoidance — for any asset, any node, any duration.

BESS revenue stacking is a black box in India. Every developer's spreadsheet uses different assumptions about hourly price spreads, ancillary participation, and outage-event premia. There is no standard forward price curve, no standard storage revenue model, no public benchmark for what a 100 MW four-hour battery in Bhadla actually earns in 2027. The Storage Revenue Stack API publishes a probabilistic answer — built on the same dispatch backbone as the Curtailment & Capture-Rate API, with model versioning on every response so an investor can replay any past projection against any future model.

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ENTERPRISE API · DISTRIBUTION

Dynamic hosting capacity for any distribution transformer in India — physics-informed, AMI-fed.

The low-voltage distribution network is India's biggest data blind spot. DISCOMs are approving rooftop solar and EV charging connections without knowing the actual thermal limits of local distribution transformers. Result: nuisance tripping, equipment failure, and weeks of back-and-forth between DISCOMs, installers, and CPOs. The Distribution Transformer Stress API replaces static "10 kW solar limit" rules with a dynamic envelope — fed by AMI smart-meter time-series, irradiance, EV load forecasts, and a physics-informed thermal model of the DT itself.

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