Patent Transfer & M&A Signal Intelligence
Pricing
from $10.50 / 1,000 results
Patent Transfer & M&A Signal Intelligence
Use this Actor to analyze patent transfer and manda signal and return decision-ready structured signals. Turn patent and assignment datasets into IP-acquisition momentum, assignee concentration, technology expansion and MandA watch signals.
Pricing
from $10.50 / 1,000 results
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0.0
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Developer
Rafael Barreto Haddad
Maintained by CommunityActor stats
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3 days ago
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Use this Actor to analyze patent transfer and manda signal and return decision-ready structured signals. It is designed for repeatable human, API, Apify AI, and MCP-driven workflows.
Turn patent and assignment datasets into IP-acquisition momentum, assignee concentration, technology expansion and M&A watch signals.
Why use this Actor
Patent search and assignment data exists, but strategy teams still need recurring intelligence about who is accumulating IP, in which technology classes, and how quickly. This Actor sits above raw extraction: supply a current dataset, optionally add a previous snapshot, and receive an aggregated report built for recurring monitoring and AI-agent workflows.
Key features
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Assignee acquisition momentum instead of patent rows only.
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Snapshot-based patent transfer and ownership-change intelligence.
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Technology-class expansion and assignee concentration signals.
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M&A watch scoring for sudden IP portfolio transfer bursts.
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Low-compute 256 MB data-first architecture.
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Reads inline JSON rows or Apify Dataset IDs with limited READ permission.
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Writes one auditable report to the default Dataset and
INTELLIGENCE_REPORT.
Example
Use the prefilled example or replace currentItems with rows from an upstream Actor. On recurring runs, provide the prior period in previousItems or previousDatasetId. The Actor normalizes common aliases, compares snapshots, ranks the strongest entity changes and emits agentAction.
Use cases
- M&A research.
- Corporate strategy.
- Patent intelligence.
- Venture capital.
- Competitive intelligence.
Pricing
One primary pay-per-event outcome: one decision-ready intelligence report. Base price USD 0.015 before Apify tier discounts. The 256 MB data-first architecture is designed for strong unit economics.
Limitations
- Analyzes supplied public or appropriately licensed data and does not bypass restricted sources.
- Scores are decision-support signals, not predictions or guarantees.
- Keep stable identifiers across snapshots for best change detection.
- Zero-direct-competition status is rechecked before publication because the Store changes continuously.
Workflow
upstream dataset -> current snapshot -> optional previous snapshot -> normalization -> entity aggregation -> change scoring -> ranked signals -> agentAction.
Input
Provide currentItems inline or select currentDatasetId from Apify storage. For period-over-period analysis, add previousItems or previousDatasetId. The Actor uses read-only Dataset permission and accepts up to 50,000 records per run. Stable source identifiers improve exact new/removed record detection, while common aliases are normalized for entity, value, date and secondary dimensions.
Output
The default Dataset receives one compact intelligence report containing current and previous record counts, newly observed and removed records, an aggregate market signal score, ranked entity-level signals, secondary-dimension concentration and a deterministic agentAction. The same report is also saved as INTELLIGENCE_REPORT in key-value storage for downstream Tasks, Schedules, webhooks and agentic workflows.
