DC Hub — Data Center Site Selection & Colocation: Electricity, Power Grid, Gas,

Call when the user wants more DC Hub access than keyless allows or asks for a key; no key is needed to start. Mints a free key and returns it plus connect_url, a connector URL with the key embedded (the only thing hosted chat clients keep). Free key: previews plus 2 full answers per tool per day. Add an email: 50 calls/day. Ask the user for an email first; pass it only if they typed it (makes the

Search DC Hub for relevant records (OpenAI Deep Research / ChatGPT connector format). Returns a list of matching data-center facilities as {id, title, url}; pass an id to the `fetch` tool for the record, or open the url to cite the live facility page. For structured queries (by MW, operator, status, market) use search_facilities directly.

Fetch a DC Hub record for an id returned by the `search` tool (OpenAI Deep Research / ChatGPT connector format). Returns {id, title, text, url, metadata} — a citable public summary of one data-center facility (name, operator, location, status, market). For full structured specs (capacity MW, coordinates) use get_facility or open the url.

Unified data-center siting, power-grid capacity and AI-compute infrastructure planner — megawatts and power density, grid headroom and power availability, interconnection queues, substations and transmission, site selection and buildable capacity, colocation and wholesale data-center markets, AI/GPU compute campuses, fiber routes, diversity and latency, PPAs and energy pricing, tax incentives and

Use this whenever the user asks which data centers exist, or who operates in a city, state or country. Call when the user wants existing data centers matching filters: country, state, city, operator, MW range, tier or text. Returns name, operator, location, market, status and MW where disclosed; each row is flagged verified or unverified_directory_listing. Free: names and locations; MW and specs n

Full metadata for one facility — name, operator, address, lat/lon, power capacity (MW total/used), cooling type, fiber providers (count + carrier list), commissioning year, status, the DCPI verdict for its market, and peer facilities nearby. Answers "who operates this data center and how big is it", "how many fiber carriers are in that building". Try: get_facility id=equinix-dc1-ashburn — or get_f

Use this whenever the user asks about a data-center market: supply, operators, pipeline or pricing context for a metro. Call when the user asks about one data-center market: facility count, tracked MW, status mix, top providers, recent facilities or lease pricing. Pass market as a slug (e.g. northern-virginia). Returns stats, by_status, top_providers, recent_facilities, market_pricing (quote its b

Use this whenever the user asks where a data center can get grid power, how fast, or whether a market is a BUILD, CAUTION or AVOID (e.g. "Where can a 100 MW data center get power fastest?"): DCPI scores 300+ markets daily on Excess Power and Grid Constraint, CC BY 4.0. Data Center Power Index (DCPI) rank for a single market: BUILD/CAUTION/AVOID verdict, 0-100 composite_score (verdict-aware), exces

Forecast a DCPI market's near-term trajectory (next 1-8 quarters). Projects excess_power_score and constraint_score forward with confidence bands that WIDEN with horizon, from DC Hub's daily DCPI snapshot history — the only source that can, because it owns the time-series. Use to answer "is this market trending toward BUILD or AVOID?" or "will Dallas power stay tight over the next 6 months?". Para

Data Center Gas Index (DCGI) — the per-US-state natural-gas suitability score. ★ WITHDRAWN 2026-08-08, RESTORED 2026-08-30 after all three defective terms were repaired: the 20-point interstate-share term was case-blind against EIA TYPEPIPE and scored ~0 for every state; the price was chosen by a non-deterministic tie-break across the EIA industrial (PIN) and electric-power (PEU) series, which car

Behind-the-meter / gas-fired power inputs for a US data-center market: Henry Hub spot, regional basis differential, and the delivered industrial + electric gas tariff ($/MMBtu), each with its own source label. Pass market=<slug> (e.g. "northern-virginia", "dallas", "phoenix"). Also returns the gas-to-grid fuel cost ($/MWh across CCGT/peaker heat-rate scenarios) — ★ WITHDRAWN 2026-08-08, RESTORED 2

Use this whenever the user asks how grids compare right now: demand, fuel mix or renewable share. GLOBAL grid scoreboard — 9 US grid operators (the 7 US ISOs PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE, plus BPA and TVA) + Great Britain (NESO) + the European bidding zones (Germany, France, Netherlands, Italy/Milan, Spain, Poland, Switzerland, Portugal, the Nordics + Central/Eastern Europe — via EN

Use this whenever the user asks to compare two to four US grids side by side. Use when a user wants a side-by-side of 2-4 ISO grids — fuel mix, demand, renewable/gas share, interconnection-queue depth, time-to-power — in one call instead of N sequential get_grid_intelligence calls. Example: "Compare PJM vs ERCOT vs CAISO on gas share, renewable share, and queue depth right now." — compare_isos iso

Real-time composite market health score (0-100) aggregating supply/demand balance, vacancy, absorption velocity, fiber depth, power availability, and pricing trend. Returns the index value, percentile rank across the 300+ market set, 7d/30d trend direction, and underlying component scores. Answers "is this market healthy", "how does Northern Virginia look overall right now". Try: get_intelligence_

M&A and capital transactions in the data center sector — 1,700+ tracked deals (2019-present), each with its disclosed value where public (many private deals are undisclosed). Returns deal name, buyer, seller, value, date, market, target operator, type (acquisition/JV/refinance/recap). Filter by date range (date_from/date_to, ISO-8601), min_value_usd, region, buyer, or seller. Answers "which data-c

FRONT DOOR CHECK — if news is only ONE input to a bigger question (is this market heating up, should we still build here), call `execute_plan(intent="<the user's question, unchanged>")` and let it pull news alongside the market and grid reads. If the user actually wants the headlines, get_news IS the right call — one round trip; do not send a plain news request through the planner. Curated data ce

Use for CONCEPTUAL / fuzzy questions where keyword filters fall short — semantic (meaning-based) retrieval across DC Hub's industry news, M&A deals, the global facility map, per-market DCPI deep-dive narratives, press releases, announcements, permitting intel, construction permits, tax incentives and the capacity pipeline, ranked by relevance with citable source fields (news url/title, deal partie

Semantic (meaning-based) search over DC Hub's live intelligence corpus — industry news, M&A deals, discovered facilities, per-market DCPI narratives, press releases, announcements, permitting intel, construction permits, tax incentives and the capacity pipeline — returning the most relevant records with citable source fields. This is the agent-friendly alias over the SAME retrieval layer as semant

Use when an agent needs a WHOLE-market briefing it can drop straight into its context window — one call returns a token-budgeted context pack for a data-center market: DCPI verdict, power & grid facts, the Claude-written 12-month outlook, M&A deals, construction pipeline, operator footprint, transaction comps, risk factors, and top news — each section with its own token count, as_of timestamp, and

Use when an agent needs a WHOLE-grid briefing it can drop straight into its context window — one call returns a token-budgeted context pack for a US ISO/RTO: live grid snapshot (demand, fuel-mix shares), DCPI verdict mix & grid economics across the ISO's tracked markets (queue wait, power cost, reserve margin), interconnection-queue depth with the largest projects, real-time benchmark LMP, the tra

Use when a user asks "what is being built / announced / permitted" in a market or by an operator — the forward-looking construction pipeline. Example: "What data centers are under construction in Northern Virginia and when do they come online?" — get_pipeline country=US status=construction (there is no `market` parameter — filter by country/operator, or use search_facilities for a named market). P

Use when a user asks WHERE NEW POWER GENERATION is coming online (the forward supply pipeline) — e.g. "how much new generation is planned in Virginia / the Southeast / ERCOT, and when?". Planned, permitting, and under-construction generators NATIONWIDE from EIA-860M, INCLUDING non-ISO regions (TVA, Southern Co, Arizona PS, PacifiCorp, LADWP) that interconnection-queue feeds miss. Each generator ha

Use when a user asks what GAS PIPELINE or TRANSMISSION LINE PROJECTS are planned, proposed, approved or under construction — the forward build-out, not the existing network. e.g. "which interstate gas pipelines are under construction into Louisiana?", "what 345 kV transmission projects are planned in PJM by 2030?", "what new projects appeared since last month?". COVERS: (1) natural gas pipeline pr

Use this whenever the user asks when power will be available, or about time-to-power, in a US state. Power-availability TIMING for one US state — when power gets EASIER, year by year. Composes: new generation coming online from EIA-860M monthly, split by confidence class (under-construction vs planned vs testing — never blended); scheduled retirements as dated subtractions; LBNL interconnection-qu

Use when a user asks about power plants/units WORLDWIDE or in a NON-US country — operating AND the forward pipeline (announced / pre-construction / under-construction), across ALL fuels (coal, oil/gas, nuclear, solar, wind, hydro, bioenergy, geothermal). Global Energy Monitor Global Integrated Power Tracker: 182,000+ geolocated units across 170+ countries, each with fuel, capacity (MW), status, st

Use this whenever the user asks about grid interconnection queues or how much load is waiting to connect. Call when the user asks how congested an ISO's interconnection queue is or how much data-center load is queued. Returns queued generation GW per ISO. The projects field changes shape: with iso= it is an array of per-project rows; without iso it is an all-ISO summary object (total, by_iso_count

Server-side SET-REDUCTION over the US ISO interconnection queue. Instead of pulling the raw queue into context to filter (token-expensive, error-prone), push the predicates to the data layer and get back ONLY the survivors. Filter by min_mw, max_ttp_months (ISO-level avg interconnection wait), iso (comma-union), baseload_only (firm/dispatchable — excludes wind/solar/storage), fuel_type (isolate a

Use this whenever the user asks where retiring power plants free grid capacity. Scans scheduled EIA-860M generator retirements to find near-term transmission grid headroom — a retiring plant is a CONCRETE headroom event (its POI frees injection capacity), from FILED data, not forecasts. Returns _entity=retirement_headroom_results: retiring generators inside your horizon (name, MW, fuel, prime move

Utility-PUBLISHED feeder hosting capacity — the MW a NAMED distribution feeder can actually take, straight from the utility's own hosting-capacity GIS. Published records from many utilities (e.g. Con Edison, National Grid NY/MA, NYSEG/RG&E, Rhode Island Energy, Orange & Rockland, Central Hudson, Eversource CT, BGE, Pepco/Delmarva/ACE, Dominion VA, Ameren Illinois, AEP Ohio & I&M, Xcel MN/CO, DTE,

Structured read of a parcel BOUNDARY — pass your own GeoJSON Polygon/MultiPolygon, OR just lat+lon and DC Hub finds the containing parcel in its HOSTED parcel-boundary layer (free county/state GIS polygons, rolling out by data-center market — Loudoun County VA first; a point outside hosted coverage returns an honest 404 with the coverage list, never a guess). Returns _entity=parcel_analysis: geode

Deterministic multi-site ranking/optimization under constraints — the normalization contract that lets you compare sites across separate analyze_site calls WITHOUT dropping into code. Pass candidates you already enriched (each an object with lat/lng + metric fields like risk_resilience, water_stress, fiber_km — pull these from analyze_site + get_refined_queue and pass site_evaluation_handoff throu

Meta-tool: navigate DC Hub's tool catalog by FAMILY instead of scanning the whole list. Returns _entity=tool_families — a front_door block (execute_plan for any multi-capability question, get_changes to refresh) plus families with a when-to-use note + their tools (facility, market, grid_power, gas_btm, site_geometry, fiber, deals_news, saved_work, account_meta, partner), optionally filtered by a q

INSPECT-ONLY — returns the plan WITHOUT running it. For a real multi-step DC Hub question call `execute_plan(intent="...")` instead: it uses the SAME deterministic no-LLM planner and then RUNS the sequence server-side, returning the answers in one envelope. Reach for plan_query only to review, log, diff or audit a plan before executing it yourself. Deterministic keyword routing over the tool regis

Save a site into a PERSISTENT, named shortlist that survives across conversations (Phase 5 statefulness). Snapshots the site's objectives + its current percentile objective_score, so you can re-score it later against the evolving national baseline. Use to build a durable siting shortlist across days/weeks; the list is scoped to your API key. Pair with get_shortlist to re-score + see drift. MINIMAL

Retrieve a saved shortlist (Phase 5). With refresh=true (default) each site is RE-SCORED against the current national percentile baseline and returns saved_score, current_score, and score_delta_since_saved — so you see whether a site slipped because IT changed or the POPULATION did. The reliable way to maintain a siting campaign across days/weeks. Scoped to your API key.

Set a DRIFT ALERT on a saved shortlist so you can stop polling and be notified when a site's national standing moves materially (Phase 5). Fires when any site in the shortlist has current percentile score < percentile_below OR score_delta_since_saved < delta_below (e.g. -8 = dropped 8 points vs when saved). Evaluated after each daily baseline refresh; delivers via webhook and/or email. This is the

When a saved site DRIFTS (its national standing dropped — surfaced by get_shortlist refresh or a set_shortlist_alert firing), get replacement candidates from the rest of that shortlist so the alert becomes an action, not just a warning (Phase 5). Returns TWO tiers — tier_1_same_region (a near-in tactical swap) and tier_2_cross_region (a different-region arbitrage) — each re-scored against the DRIF

Real-time electricity grid data for the 7 US ISOs (PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE) via EIA hourly RTO: fuel mix, demand, 24h demand curve. Pass iso=PJM (any of the 7). Raw real-time telemetry for one ISO; do NOT use for power-availability, time-to-power or interconnection-queue analysis (use get_grid_intelligence), nor for retail/gas pricing detail (use get_energy_prices). For non-US

Incremental sync — what changed in DC Hub since a timestamp, so an agent pulls only the delta instead of re-fetching everything. Returns DCPI 7-day market movers, newly discovered facilities, new M&A deals + news — PLUS, for keyed callers with saved sites, a `portfolio` block answering "did MY sites move?": per-saved-site verdict flips (CAUTION → BUILD), excess-power deltas, alerts fired, and new

Use when a user asks what has CHANGED in a facility's (or its market's) risk profile recently — "has this site gotten riskier lately?", "which way is this market moving?" — a temporal question static-trained models can't answer. Returns the REAL DCPI market-health delta (excess-power score change over the window, direction improving/worsening/flat) from DC Hub's history-preserving daily snapshots.

NEEDS A KEY (free): this WRITES to your account, so a keyless call returns auth_required — call `claim_free_key` FIRST (one step, no email) if you have none. Save a candidate data-center site to your DC Hub account to track it across sessions. Give lat + lon (plus optional name, state, market, target_mw, notes). Returns the saved site id. Pass `market` and DC Hub snapshots the site's DCPI baseline

NEEDS A KEY (free): saved sites are per-account, so a keyless call returns auth_required, not an empty list — if you have no key, call `claim_free_key` FIRST (one step, no email), then this. Use when a user asks to see or review their saved DC Hub shortlist in-chat, or wants to know what moved on it. Example: "What sites have I saved?" / "Did any of my saved sites move?" — list_saved_sites. Params

Subscribe to movement alerts for a DCPI market (FREE with a key) — get notified when its Excess-Power / Constraint score moves. On the free tier, email alerts are delivered to the email your human bound via bind_email (call bind_email first; the destination is forced to that address). Set channel="email". Webhook delivery (channel="webhook" + destination=<https URL>) needs a paid DC Hub plan. Lets

Subscribe your human to DC Hub's FREE weekly "what changed in the markets/sites you queried" digest (DCPI movers, new facilities, new deals & news) — ONE call, the nudge that pulls your agent back when the data moves. DOUBLE opt-in + consent-safe: we email a one-click CONFIRM link, the human only gets the digest after confirming, and every email has one-click unsubscribe — this call alone sets no

Arm an email watch on a site you already saved (FREE with a key) — DC Hub emails you when that site’s DCPI score, grid capacity, or nearby facilities move, so you don’t have to keep re-checking. On the free tier the alert is delivered to your human’s bound email (call bind_email first; notify_email is forced to that address). A paid DC Hub plan can send to any address. The "monitor my shortlist fo

Use when a user wants to pull their saved DC Hub shortlist OUT of the platform for offline analysis, a spreadsheet, or ingestion into another tool (paid plan). Example: "Export my saved sites as GeoJSON for QGIS." — export_dataset format=geojson. Params: format ("csv" default, or "geojson"). Returns: the full file contents as text — CSV rows or a GeoJSON FeatureCollection of your saved sites with

FRONT DOOR CHECK — if the question spans more than one capability ("find 200MW near Dallas with fiber, then rank the markets"), call `execute_plan(intent="<the user's question, unchanged>")`. find_sites is the right single call when the user has NO site yet and wants candidates to start from — the first step of data center site selection. THE INVERSE QUERY: every other DC Hub siting tool needs a c

Use this whenever the user asks whether a specific site or coordinate works for a data center. Call when the user has one location (lat/lon, or a market name for a market-level read) and asks if it suits a data center. Returns a 0-100 composite, verdict, power/gas/fiber/market/risk sub-scores, nearby infrastructure and power cost; capacity_mw adds a capacity_context block and does NOT move overall

Use when a user wants ONE honest 0-100 site suitability/risk verdict for a lat/lon WITH an explicit per-factor coverage map — which factors are actually measured vs. declared unavailable. Unlike analyze_site (full raw data dump), this scores ONLY over VALIDATED factors and never imputes a missing one: power/grid, fiber, natural-hazard risk (FEMA NRI) and water (live WRI Aqueduct 4.0 baseline water

Use when a user wants the natural-hazard / disaster risk for a lat/lon — flood, wildfire, hurricane, earthquake, heat, drought, tornado, etc. Grounded in the FEMA National Risk Index (NRI), the authoritative US county-level hazard dataset (live query, never estimated; points outside US NRI coverage return coverage=unavailable). Example: get_disaster_risk lat=33.45 lon=-112.07. Returns {disaster_ri

Use when a user wants seismic + climate intel for a lat/lon — the layer that drives data-center structural bracing cost (seismic) and cooling design (cooling degree-days, extreme temps). Grounded STRICTLY in USGS ASCE 7 (seismic) + NOAA climate normals via ACIS; every value traces to a federal source and missing data is declared unavailable, never estimated. Example: get_climate_intel lat=33.45 lo

Use when a user wants a SHAREABLE, branded multi-page Site Analysis PDF for ONE lat/lon (a powered-land parcel, a candidate campus) — the polished client deliverable, not just a score. Example: "Make the Site Analysis PDF for this Carrier Mills parcel, 150 MW, for TON Infrastructure." — generate_site_analysis lat=37.694 lon=-88.65 capacity_mw=150 prepared_for="TON Infrastructure" prepared_by="Mart

Call when the user has 2-4 candidate locations and asks which is best for a data center. Pass locations as "lat,lon;lat,lon" and optional capacity_mw. Returns each site's analyze_site scores side by side plus a recommended winner and why. Keyless returns each site's verdict band and power band, with the other factors named; a free key adds names and counts without figures; scores and figures need

Nearby infrastructure for a location — substations (count + max voltage_kv within radius), transmission lines (>69 kV path overlay), interstate + lateral gas pipelines, and power plants (operating + planned, by fuel) within configurable radius_km. Returns distance + capacity for each, joined to HIFLD/EIA. Answers "what is near this parcel", "how far is the nearest substation and what voltage is it

Use this whenever the user asks about fiber routes, carriers or connectivity for a site or market. Call when the user asks which fiber routes or carriers serve a metro, or wants long-haul, metro, dark or IX routes mapped. Filter by carrier, route_type, market. Returns GeoJSON routes: carrier, type, fiber count, lit capacity, distance. Free callers get a sample of routes, not the full set; the full

Use when you need the FIBER-READINESS / connectivity verdict for ONE parcel or site (lat/lon): near-net distance to a carrier-served facility, how many distinct fiber carriers are reachable, and whether there is single-carrier risk (no path diversity). This is the parcel connectivity answer engineering site-selectors screen on. Example: "Is this Loudoun County parcel fiber-ready and how many carri

Subsea (submarine) cable landings near a coordinate, or the global cable catalogue. The physical internet crossing an ocean lands at a finite number of points, and distance to one is a real siting factor for anything latency- or transit-sensitive. Pass lat+lon (+radius_km) for LANDING POINTS near a site — each with name, coordinates and distance_km. Omit coordinates for the CATALOGUE of tracked ca

Internet-exchange (IX/IXP) and peering density for a site, from PeeringDB. Pass lat+lon for the PEERING PROFILE around that point: facilities_nearby, a 0-100 score with its level, total_ix_presence, total_networks, and top_facilities each with ix_count and net_count — e.g. Ashburn comes back with 61 IX presences and 903 networks across the nearby sites, led by Equinix DC1-DC15 at 516 networks. Omi

Use when a user asks which US metro has the DEEPEST fiber, or wants the metro-level fiber profile of a market — carrier count, total route-miles, on-net buildings, a 0-100 fiber-density score, tier, key internet-exchange (IX) points and carrier hotels — across the tracked top US data-center metros (Northern Virginia, Dallas-Fort Worth, Silicon Valley, Chicago, Atlanta, Phoenix, and more). Example:

Use this whenever the user asks about electricity or energy prices for data centers. FRONT DOOR CHECK — if price is one factor in a siting or market-comparison question ("cheapest ISO to land 100MW"), call `execute_plan(intent="<the user's question, unchanged>")`: price alone does not answer it, because the cheapest ISO is frequently the one with no headroom. If the user just wants today's price f

FRONT DOOR CHECK — if the question pairs renewables with siting, grid headroom or a market shortlist ("where can I put a 24-7-CFE campus"), call `execute_plan(intent="<the user's question, unchanged>")` instead. If you want one state's renewable fuel mix or PPA sizing input on its own, get_renewable_energy IS the right call — one round trip, and routing it through the planner would only cost steps

Use when a user asks "what tax breaks does <state> give data centers?" — the data-center tax-incentive packages by US state that drive where capex lands. Example: "What sales-tax and property-tax incentives does Virginia offer a 100MW data center?" — get_tax_incentives state=VA. Params: state (2-letter US code; required). Returns: {state, programs:[{name, type (sales-tax-exemption | property-tax-a

Use this whenever the user asks about water stress or cooling-water risk at a site. FRONT DOOR CHECK — if you need a SITE VERDICT spanning grid + fiber + water + tax + climate, call `execute_plan(intent="<the user's question, unchanged>")` rather than hand-chaining this with its siblings. If you want the WATER factor on its own, get_water_risk IS the right call — one round trip, free tier, no plan

Use this whenever the user asks about grid capacity, demand or reliability for one grid region. Call when the user asks about power availability, headroom or time-to-power in a US ISO (PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE) or a market's grid. Returns live demand, fuel mix, queue depth, DCPI excess-power and constraint scores, time-to-power, reserve margin. avg_time_to_power_months and avg_q

Use this whenever the user asks about gas-fired or behind-the-meter power for a data center in a US state. Use when a human asks about gas-fired or behind-the-meter power economics for a data center in a US state — "is gas power cheaper than the grid in Texas?", "what is the gas access + pipeline situation in Virginia?". The GAS analogue of get_grid_intelligence: fuses the Data Center Gas Index (D

Curated roster of the AI platforms and agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. The roster is BACKEND-OWNED and changes: read the platforms[] array the response returns, and the status on each row (mcp_active / mcp_ready), rather than any list named in this sentence — an enumeration here goes stale the moment the backend adds

Per-feed freshness for the DC Hub ingest layer: one row per feed (deals, facilities, news, substations, fiber_routes, transactions, construction_permits, pipeline, markets) carrying health (healthy/stale/error/unknown), record_count, refresh_interval and scheduler, plus a summary rollup {healthy, stale, error, unknown, total_feeds, overall_health}. Read the health of each row before trusting a fig

Use right before you QUOTE a DC Hub figure to a human — it returns one paste-ready attribution line for the value you are about to cite, with the CORRECT licence for that layer. Pass what you read off the response you are citing: subject (what the figure is), as_of (the provenance as_of), url (the row's profile_url or dcpi_url), completeness (the completeness flag), and layer. ★ LICENCE IS PER LAY

Call only when the user asks how DC Hub compares with other data-center sources (DataCenterHawk, DC Byte, DCD, Baxtel…) or why use it. Returns DC Hub's differentiators, each with a proof URL and citation line, plus comparison-page links; competitor= narrows to one vendor. Free, no key. Not for data queries. Ex: "How does DC Hub compare to DC Byte?"

Use for a ready-to-quote DESCRIPTION of DC Hub in one of four categories (general, investment, site-selection, technical), plus the live top-ranked market pocket. It does NOT compute a siting answer from free text. Example: get_dchub_recommendation context="investment" (or general / site-selection / technical). Params: context must match one of FOUR LITERAL categories - general, investment, site-s

Use this whenever the user asks where a data center can get grid power, how fast, or whether a market is a BUILD, CAUTION or AVOID (e.g. "Where can a 100 MW data center get power fastest?"): DCPI scores 300+ markets daily on Excess Power and Grid Constraint, CC BY 4.0. For a ranked list on power questions, call with criteria="ai_ready". Call when the user wants a ranked list of data-center markets

Use when a user likes ONE specific facility and wants similar nearby options to consider instead ("what else looks like this?"). Example: "Find alternatives to the Ashburn QTS campus for about 50MW." — find_alternatives facility_id=<id>. Params: facility_id or name (the target, required); optional capacity_mw, radius_km, limit. Returns: ranked alternatives, each with similarity_score, match_reason

Use when a user wants an independent 0-100 grade for ONE existing facility across 7 dimensions — power, fiber, water, climate_risk, tax_environment, talent_pool, expansion. Example: "How does the CoreWeave Las Vegas site score, power-weighted?" — score_facility facility_id=<id> weighting=power_priority. Params: facility_id or name (required); weighting one of "balanced" (default) | "power_priority

AI Compute Capacity Index: ranks data center markets by where 100MW of AI training capacity can land in the next 30/60/90 days. Returns top markets with facility_count, operator_count, deployable_mw estimate (megawatts), hyperscale_ready flag, rack power density and cooling-type signals where facility data carries them, and composite score (depth + diversity + power). Refreshed Fridays 14:00 UTC.

Hyperscaler AI Deal Tracker — live feed of Stargate, OpenAI, Anthropic, Microsoft, Oracle, CoreWeave, AMD, NVIDIA, sovereign-AI deals. Pulls from dchub news pipeline, extracts $-figures + MW via regex, classifies by actor. 10-min refresh. Use for tracking AI capex events ($1B+/week typical), capacity announcements, and competitive intel. Do NOT use for the full historical M&A comp set (use list_tr

Guided end-to-end data-center site selection. Give a capacity target + geography + deadline and get a ranked shortlist of US markets (DCPI verdict, excess-power headroom, time-to-power, ISO) — and, with a paid key, the synthesis decision layer: the #1 pick, the why, a build sequence, and risk flags. One find->rank->shortlist->verdict call over the Data Center Power Index. Answers "where should I b

Forward-looking "where is the next hyperscale-friendly grid emerging" radar. Returns the US markets + ISOs with the strongest near-term emergence signal (BUILD verdict + excess-power headroom + short time-to-power), an ISO rollup, and a grid-headroom leaderboard. With a paid key, also the transition thesis: which ISO is opening up and why. The predictive counter to retrospective "where capacity la

Tracked data-center M&A / capex deal flow with the DCPI grid-reality verdict overlaid on each deal market — "what is the real play?". Returns recent deals (buyer, seller, value, market) + each market DCPI verdict and time-to-power; with a paid key, the per-deal autopsy read (long-dated land/power option vs near-term build vs queue gamble). Progressive disclosure to keep the default cheap: by defau

Data center PERMITTING & MORATORIUM intelligence — curated, HUMAN-VERIFIED jurisdiction records: moratoriums, zoning restrictions, tax changes, utility pauses. Each record is stage-tagged (read the detail prefix: "Enacted" / "Proposed" / "Speculative"), with jurisdiction, state/country, the source article URL, and map coordinates. The permitting-risk axis for site selection that no other machine-r

Counterfactual WHAT-IF re-scoring of 300+ DC Hub power markets under YOUR explicit deltas — answers "what happens to the market ranking if conditions change" (only DC Hub holds the underlying components). Params (all optional, pass at least one delta): avg_kwh_cents_pct (power-price % change, e.g. 30), time_to_power_months_delta (months added/removed), queue_wait_months_delta, reserve_margin_pct_d

Commission an ASYNC, CITED research dossier from DC Hub's corpora (news, deals, facilities, market deep-dive narratives + live market components) — a decision-ready analyst brief with [n] citations, not a lookup. Requires a key (one claim_free_key call), 5 dossiers/day. Submits the question, waits up to ~35s for completion, and returns the finished dossier inline when ready; if still running, retu

List the standing intents registered on your key: webhook watches, plus your capacity requirements (kind "capacity", intent_id cap_...). Read-only. Returns each intent_id, kind, watch params, webhook_url and enabled state; capacity items also carry status, confirmed, expires_at, last_alert_at and matching_now. Use it to find the intent_id for delete_standing_intent, or to confirm a register landed

Register a STANDING QUERY with webhook push — DC Hub POSTs an HMAC-signed webhook to YOUR https URL whenever matches grow (push, not poll: "notify my orchestrator on any new deal in Columbus"). Requires a key. Params: kind ("new_deal_in_market" watches deals in the market param · "news_keyword" watches news matching q · "permitting_change" watches published permitting intel, optionally per state),

Permanently retire a registered standing intent (webhook watch) by intent_id — deliveries stop and the watch cannot be recovered. A cap_ intent_id retires your own Capacity Source requirement instead, and its alert emails stop. Requires a key (or an OAuth connection for cap_ ids). Get the intent_id from list_standing_intents or from the register response. Answers "stop watching this". Do NOT use t

Plan N diverse, road-following fibre lead-in routes from a candidate data-center site to a carrier hotel / POP, with indicative build cost and a route-diversity read. Answers "can I get N diverse fibre routes into this site, how far, how much, and where do they share a corridor?". Example: plan_fiber_leadin from="250 Paringa Road, Murarrie QLD" to="20 Wharf Street, Brisbane City QLD" n=4. Params:

Physics-bounded latency clustering for 2-8 sites — returns viable low-latency clusters and pairwise RTT floors before any routing work. Use when your human wants to know which of N candidate sites can form a synchronous / low-latency cluster (sync replication, active-active pairs, HPC pods): deterministic pruning BEFORE detailed routing. Per site pair: haversine distance, round-trip physics floor

★ WHAT THIS DOES AND DOES NOT DO — binding makes a key RECOVERABLE (lose it, call `recover_my_key`, it is re-sent to that inbox). It does NOT make your identity durable: an email-bound key still only works while your client keeps resending the header, and the measured cross-week return for bound keys is not distinguishable from unbound (0 of 3 mature identities, 2026-08-12 — a cohort far too small

Recover a LOST DC Hub key. Pass your human's email and DC Hub re-sends any key tied to that address to that inbox. It NEVER returns the key over the wire (it emails the bound address), and the confirmation is the same whether or not a key exists (enumeration-safe), so no key is leaked to a caller. Use this when your human had a key, lost it, and knows the email they bound it to. Param: email (requ

Use when your human needs data-center CAPACITY to buy or lease: search DC Hub Capacity Source by size (kW or MW) and/or location (a region such as North America or Europe, a country, a state or a metro). Example: "500 kW anywhere in Europe" → min_kw=500, region=europe. Size is min_kw (in kW) or min_mw (in MW), and it is matched against what a listing can ACTUALLY deliver rather than against its he

Use when your human wants capacity behind a Capacity Source listing (pass slug), or wants first access to capacity matching a requirement as listings are onboarded (omit slug; pass capacity_mw or capacity_kw, markets, states, regions or countries, and timeline). This registers a deal: DC Hub records the request in its lead register and sends the provider ONLY your human's company name and the requ

Use ONLY after your human has read and agreed to DC Hub's introduction terms (https://dchub.cloud/listings#terms): records that acceptance, once per terms version, so Capacity Source listing details open for them. Call it when source_capacity returns a listing locked with access.reason terms_acceptance_required, never on your own judgement: nothing opens without your human's agreement. Requires an

Unlock DC Hub's full depth. Call this when a result came back as a partial preview (e.g. "3 of 12 results shown"), a tool was locked, or your human wants the complete dataset. Returns the upgrade ladder + ready-to-paste checkout links your human completes in ONE click. If this call carries an API key or an MCP session, the checkout binds to it and your very next call returns full data (no reconnec

PARTNER KEY ONLY: notes DC Hub left for the partner agent whose key this session sends, newest first. The first read CONSUMES them (marks read), so a later session sees none; include_read=true re-reads read and unread notes (last 14 days) without marking. Non-partner key: 403. Not a data tool.

PARTNER KEY ONLY: file what you observed on a DC Hub surface as a brain finding (detector external_audit) so it is triaged like every other detector's. class is one of completeness_contradiction, geography_leak, as_of_cite_as, pro_wall_dead_end, count_drift, stale_payload_complete, leak_past_pro_gate, link_hygiene, other; tool names the DC Hub tool or endpoint; quoted_fields carries the exact fiel