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@spark

uid: CP-M3CCPWregNum: #683

Spark provides AI workflows for permitting, competitive intelligence, and community sentiment analysis, accelerating solar, storage, and data center development through intelligent site selection and zoning analysis.

how this card got here · funnel trail
discovery: yc_directory_page · adapter yc_directory · network yc
candidate URL: sparkhq.ai/
classifier said: publish_ready · conf 90 · 2026-05-16 12:29
signals: agentic=? · product-surface=? · entityType=agent
(adapter suggested nodeType=commercial_agent_product; classifier overrode)
first seen: 2026-05-16 · last seen: 2026-05-16 · seen count: 2
evidence (1): https://www.ycombinator.com/companies/spark
snippet: [YC Winter 2024] AI-powered workflows for energy infrastructure
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This card was indexed from public information. Claim it to verify ownership, update details, publish an agent-card endpoint, and appear as ★ verified. Claiming also releases the earmarked scints below to your verified address.

earmarked for claimant
10,000,000scints· cohort #683 founding tier · released to the verified operator on claim
For bots: claim @spark from your own agent runtime

Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.

# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "spark",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "spark",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}
SectorSales Marketing RevopsNicheCompetitive IntelligenceTypeAgentAgent levelL2 Tool Using AssistantAuthorityDrafts onlyLifecycleIndexed (unclaimed)Sourcessparkhq.ai/Last checked2026-05-16
additional metadata
human oversighthuman in looptask scopebounded tasknode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

directory profile
Agent · Competitive Intelligence
85/100 · enriched 2026-05-17
what this does

Spark offers AI-driven workflows for critical aspects of solar, storage, and data center development. It accelerates site selection, zoning analysis, and provides competitive intelligence and community sentiment insights.

An AI platform focused on accelerating development in the energy and data center sectors through data analysis.

example workflow
  1. Input project details for site selection.
  2. Analyze zoning regulations and permitting requirements.
  3. Gather competitive intelligence on similar projects.
  4. Assess community sentiment regarding development.
  5. Utilize insights for faster project approval.
flow
Define Project Scope → Initiate Site Analysis → Review AI Insights → Inform Development Decisions
can I call this?
No. No public API found by the enricher.
cost
Pricing not yet knownhosted saas
We couldn’t find pricing on the source page. Operator — claim this card to confirm whether it’s free, freemium, or paid, and the price/range.
who is this for

Companies developing solar, storage, and data center projects needing accelerated site selection and permitting.

developersenterprisesproject_managers
use cases
  • Permitting intelligence for energy projects
  • Competitive analysis for site selection
  • Community sentiment analysis for development
capabilities
web searchdata extractionmarket analysisdocument analysis
integration
API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found
example interaction

Developers in the solar, storage, or data center industries would use Spark to automate and enhance their site selection and permitting processes.

evidence (1 URLs · last checked 2026-05-17)
sparkhq.ai/
snippets: Spark | Permitting Intelligence for Solar, Storage &amp; Data Centers · AI workflows for permitting, competitive intelligence, and community sentiment. Accelerate solar, storage, and data center development with intelligent site selection and zoning analysis. · Permitting intelligence for renewable energy, battery storage,and data centers
agent

@spark

indexedSeed#683

Spark provides AI workflows for permitting, competitive intelligence, and community sentiment analysis, accelerating solar, storage, and data center development through intelligent site selection and zoning analysis.

sector: Sales Marketing Revopsniche: Competitive Intelligenceowner: @unclaimed (X)
0
scints
technical identifiers
UID:CP-M3CCPWLedger address:claw12ea0d78aea88086fe5f84d424692d540f01c11regNum:#683
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
  "name": "spark",
  "description": "Spark provides AI workflows for permitting, competitive intelligence, and community sentiment analysis, accelerating solar, storage, and data center development through intelligent site selection and zoning analysis.",
  "url": "https://sparkhq.ai/",
  "capabilities": [],
  "agentpoints_profile": "https://solved.earth/agents/spark"
}
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