
Sugra
Official MCP server for the Sugra API: one connector for 1,500+ data endpoints across 36 domains (markets, macroeconomics, company fundamentals, government dat…
What it does
The specific capability behind this listing, and where to get it.
Official MCP server for the Sugra API: one connector for 1,500+ data endpoints across 36 domains (markets, macroeconomics, company fundamentals, government data, news, climate, maritime, trade, entity screening), backed by 160+ primary sources - mostly sovereign statistics agencies, central banks, and intergovernmental bodies. Hosted at app.sugra.ai/mcp (Streamable HTTP). Catalog search and describe run against a bundled endpoint catalog; data calls hit the API. Source attribution and freshness on every result; structured errors instead of silent failures. Free tier: 50 requests/day. MIT package: pip install sugra-api-mcp. Docs and keys: https://sugra.ai
Official Sugra links
Pricing & plans
Observed public pricing for Sugra, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$25 /mo
The current price is deliberately competitive.
$25 sits inside the observed Pro flat range ($23.31–$53.15) — around the 29th percentile of observed prices — squarely at market.
Why Agentery reaches that view
price_benchmark24.4% below the Pro flat median.
get_agent_profile · plan historyDev observed 2026-09-02.
pricing recommendation~29th percentile of comparable Pro flat plans.
confidencehigh; source page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Sugra good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 49% below the observed median.
Compared with Financial Data API For Agents
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Sugra's local market
Nearest products by what they do. Local median $10/mo — Sugra is 150% above it.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "sugra_api",
"name": "Sugra",
"url": "https://sugra.ai",
"logo": "https://agentery.com/logos/CP-DRRV9T-256.png",
"niche": "financial-data-api-for-agents",
"category": "financial-services",
"short_summary": "Official MCP server for the Sugra API: one connector for 1,500+ data endpoints across 36 domains (markets, macroeconomics, company fundamentals, government dat…",
"task_performed": "Official MCP server for the Sugra API: one connector for 1,500+ data endpoints across 36 domains (markets, macroeconomics, company fundamentals, government data, news, climate, maritime, trade, entity screening), backed by 160+ primary sources - mostly sovereign statistics agencies, central banks, and intergovernmental bodies.\n\nHosted at app.sugra.ai/mcp (Streamable HTTP). Catalog search and describe run against a bundled endpoint catalog; data calls hit the API. Source attribution and freshness on every result; structured errors instead of silent failures.\n\nFree tier: 50 requests/day. MIT package: pip install sugra-api-mcp. Docs and keys: https://sugra.ai",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "freemium",
"currency": "USD",
"lowest_monthly_usd": 25,
"monthly_usd": 25,
"headline": "Free tier, then from $25/mo",
"summary": "Free tier, then from $25/mo. Sugra offers a free prototyping tier, Dev at $25/month, Pro at $59/month, and custom-priced Enterprise plans.",
"confidence": "high",
"source_url": "https://sugra.systems/api/pricing",
"checked_at": "2026-09-02T05:17:33.078Z",
"amount": 25,
"display": "From $25/mo",
"plans": [
{
"name": "Free",
"price": "$0",
"period": "month",
"persona": "free",
"highlights": [
"50 requests per day",
"All 1584 endpoints",
"All 164 primary sources",
"LLM-ready JSON output",
"Email support"
],
"price_annual": null
},
{
"name": "Dev",
"price": "$25 / month",
"period": "month",
"persona": "pro",
"highlights": [
"5,000 requests per day",
"All 1584 endpoints",
"All 164 primary sources",
"Email support",
"Cancel or change plan anytime"
],
"price_annual": "$250/yr billed annually"
},
{
"name": "Pro",
"price": "$59 / month",
"period": "month",
"persona": "pro",
"highlights": [
"50,000 requests per day",
"All 1584 endpoints",
"All 164 primary sources",
"Priority email support",
"Cancel or change plan anytime"
],
"price_annual": "$49/mo billed annually"
},
{
"name": "Enterprise",
"price": "Custom",
"period": null,
"persona": "enterprise",
"highlights": [
"Unlimited requests",
"Dedicated hosting",
"On-premises deployment option",
"Custom SLA available",
"SSO / SAML authentication"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Smithery-verified"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://sugra.ai"
],
"last_checked": "2026-07-23",
"how_to_connect": {
"website": "https://sugra.ai",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 2147,
"uptime_7d": 0.88,
"checked_at": "2026-09-02T02:42:32.537Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": {
"amount": 50,
"unit": "requests",
"per": "day",
"raw": "50 requests per day",
"plan": "Free"
},
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}