Brainiall NLP
Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.
Crawler Summary
Official NYC property, building, and venue intelligence for AI agents. Use when the user is asking about a specific NYC address, landlord or building risk, open violations or complaints, or restaurant/venue safety and quality in a neighborhood. Example user requests: - "Is this a bad landlord?" - "Are there open violations on this building?" - "How safe and clean is this restaurant?" The NYC API exposes four tools: - **resolve_property_identifier** — Normalize and validate any NYC address, BBL, or BIN to a canonical address, BBL, BIN, borough, and confidence score. Use this first for property/building queries, especially when the user provides partial, messy, or ambiguous addresses or only a street/building reference. - **get_property_intelligence** — Full property profile: ownership, tax class, zoning, lot dimensions, assessed values, sales history, lien status, and rent stabilization flags. Use after successful resolution when the user needs to understand who owns a building, how it is zoned, how it is valued or leveraged, or whether it is likely rent-stabilized. - **get_building_violations** — DOB, HPD, and OATH/ECB violation and complaint history with severity and risk indicators. Use when the user asks about "bad landlords," "unsafe buildings," "open violations," fines, eviction or harassment patterns, or general building safety at a given NYC address or building. - **get_restaurant_venue_intel** — DOHMH health inspection grades and scores, violation details, and related permits (e.g., sidewalk cafe, liquor license). Use when the user is evaluating restaurants or venues in NYC by name or address, comparing options on health and safety, or checking if a place is likely to be a problem. Typical use cases include real estate due diligence, portfolio and lender risk assessment, building compliance audits, tenant advocacy and "should I move here?" checks, landlord and neighborhood background research, and restaurant/venue discovery and comparison. Get your API key at nycapi.app. Official NYC property, building, and venue intelligence for AI agents. Use when the user is asking about a specific NYC address, landlord or building risk, open violations or complaints, or restaurant/venue safety and quality in a neighborhood. Example user requests: - "Is this a bad landlord?" - "Are there open violations on this building?" - "How safe and clean is this restaurant?" The NYC API exposes four tools: - Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
NYC Property & Venue Intelligence API is best for general automation workflows where MCP compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, Smithery, runtime-metrics, public facts pack
Official NYC property, building, and venue intelligence for AI agents. Use when the user is asking about a specific NYC address, landlord or building risk, open violations or complaints, or restaurant/venue safety and quality in a neighborhood. Example user requests: - "Is this a bad landlord?" - "Are there open violations on this building?" - "How safe and clean is this restaurant?" The NYC API exposes four tools: - **resolve_property_identifier** — Normalize and validate any NYC address, BBL, or BIN to a canonical address, BBL, BIN, borough, and confidence score. Use this first for property/building queries, especially when the user provides partial, messy, or ambiguous addresses or only a street/building reference. - **get_property_intelligence** — Full property profile: ownership, tax class, zoning, lot dimensions, assessed values, sales history, lien status, and rent stabilization flags. Use after successful resolution when the user needs to understand who owns a building, how it is zoned, how it is valued or leveraged, or whether it is likely rent-stabilized. - **get_building_violations** — DOB, HPD, and OATH/ECB violation and complaint history with severity and risk indicators. Use when the user asks about "bad landlords," "unsafe buildings," "open violations," fines, eviction or harassment patterns, or general building safety at a given NYC address or building. - **get_restaurant_venue_intel** — DOHMH health inspection grades and scores, violation details, and related permits (e.g., sidewalk cafe, liquor license). Use when the user is evaluating restaurants or venues in NYC by name or address, comparing options on health and safety, or checking if a place is likely to be a problem. Typical use cases include real estate due diligence, portfolio and lender risk assessment, building compliance audits, tenant advocacy and "should I move here?" checks, landlord and neighborhood background research, and restaurant/venue discovery and comparison. Get your API key at nycapi.app. Official NYC property, building, and venue intelligence for AI agents. Use when the user is asking about a specific NYC address, landlord or building risk, open violations or complaints, or restaurant/venue safety and quality in a neighborhood. Example user requests: - "Is this a bad landlord?" - "Are there open violations on this building?" - "How safe and clean is this restaurant?" The NYC API exposes four tools: -
Public facts
3
Change events
0
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
MCP
Freshness
Apr 15, 2026
Vendor
Nycapi
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Nycapi
Protocol compatibility
MCP
Handshake status
UNKNOWN
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
Unknown
Full documentation captured from public sources, including the complete README when available.
Docs source
Smithery
Editorial quality
ready
Official NYC property, building, and venue intelligence for AI agents. Use when the user is asking about a specific NYC address, landlord or building risk, open violations or complaints, or restaurant/venue safety and quality in a neighborhood. Example user requests: - "Is this a bad landlord?" - "Are there open violations on this building?" - "How safe and clean is this restaurant?" The NYC API exposes four tools: - **resolve_property_identifier** — Normalize and validate any NYC address, BBL, or BIN to a canonical address, BBL, BIN, borough, and confidence score. Use this first for property/building queries, especially when the user provides partial, messy, or ambiguous addresses or only a street/building reference. - **get_property_intelligence** — Full property profile: ownership, tax class, zoning, lot dimensions, assessed values, sales history, lien status, and rent stabilization flags. Use after successful resolution when the user needs to understand who owns a building, how it is zoned, how it is valued or leveraged, or whether it is likely rent-stabilized. - **get_building_violations** — DOB, HPD, and OATH/ECB violation and complaint history with severity and risk indicators. Use when the user asks about "bad landlords," "unsafe buildings," "open violations," fines, eviction or harassment patterns, or general building safety at a given NYC address or building. - **get_restaurant_venue_intel** — DOHMH health inspection grades and scores, violation details, and related permits (e.g., sidewalk cafe, liquor license). Use when the user is evaluating restaurants or venues in NYC by name or address, comparing options on health and safety, or checking if a place is likely to be a problem. Typical use cases include real estate due diligence, portfolio and lender risk assessment, building compliance audits, tenant advocacy and "should I move here?" checks, landlord and neighborhood background research, and restaurant/venue discovery and comparison. Get your API key at nycapi.app. Official NYC property, building, and venue intelligence for AI agents. Use when the user is asking about a specific NYC address, landlord or building risk, open violations or complaints, or restaurant/venue safety and quality in a neighborhood. Example user requests: - "Is this a bad landlord?" - "Are there open violations on this building?" - "How safe and clean is this restaurant?" The NYC API exposes four tools: -
Official NYC property, building, and venue intelligence for AI agents. Use when the user is asking about a specific NYC address, landlord or building risk, open violations or complaints, or restaurant/venue safety and quality in a neighborhood.
Example user requests:
The NYC API exposes four tools:
Typical use cases include real estate due diligence, portfolio and lender risk assessment, building compliance audits, tenant advocacy and "should I move here?" checks, landlord and neighborhood background research, and restaurant/venue discovery and comparison. Get your API key at nycapi.app.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/contract"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.
Agent-callable B2B SaaS directory: capability-structured, continuously verified listings.
Loan & mortgage calculator, compound interest, ROI, crypto prices, FX conversion for AI agents.
Structured website and review evidence for AI-assisted local-business shortlisting.
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "SMITHERY",
"generatedAt": "2026-10-10T02:48:09.316Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "MCP",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:MCP|unknown|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Nycapi",
"href": "https://nycapi.app",
"sourceUrl": "https://nycapi.app",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T00:39:17.972Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "MCP",
"href": "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T00:39:17.972Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-matchuplabs-nyc-property-venue/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[]
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