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entity-extract-heuristic-bulk
x402
entity-extract-heuristic-bulk is a paid API for AI agents from intel.rallylive.ca, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Extracts named-entity candidates from up to 20 URLs concurrently using heuristics (no LLM), returning results in input order with per-item error fields
Price / call$0.1
Success—
StatusUnknown
How this service works
Bulk entity extract heuristic: up to 20 urls in one call, processed concurrently, results returned in input order with a per-item error field and a count of failures. Same answer per item as the single /page/entities endpoint (Named-entity candidates from a page without an LLM). Batch enrichment for agents that hold a list. $0.01 per batch.
Output
An ordered array of per-URL results matching the input URL order. Each item contains the named-entity candidates extracted heuristically from that page (people, organizations, locations, etc.) plus a per-item error field if that URL failed. A top-level failure count summarizes how many URLs could not be processed.
Example use cases
News article entity enrichment pipeline
“I have a list of 18 news article URLs from today — can you pull out all the named entities mentioned in each one concurrently and give me the results grouped by article? Use the heuristic approach, not an LLM.”
Competitor mention monitoring across pages
“Here are 12 competitor blog post URLs — extract the named entities from all of them in one shot so I can see which people and organizations each page references.”
Research dataset URL batch annotation
“I've got 20 research paper landing pages I need to annotate with named entities for my dataset. Can you run the heuristic bulk entity extractor across all of them and flag any pages that failed?”
Technical details
Endpoint
GEThttps://intel.rallylive.ca/bulk/page/entitiesWhen to prefer
Choose this endpoint when you already have a list of URLs (up to 20) and need entity extraction across all of them in a single roundtrip without the cost or latency of an LLM. It is ideal for bulk enrichment pipelines, dataset annotation, and monitoring workflows where heuristic-quality NER is sufficient and LLM inference cost must be avoided. Prefer the single /page/entities endpoint when you have only one URL or need to inspect a single result interactively.
Side effects
- URL unreachable or returns non-200 status — per-item error field populated, counted in failure total
- Batch exceeds 20 URL limit — request rejected or truncated
- Malformed URL in input list — per-item error, processing continues for valid URLs
- Page content not parseable as HTML — empty entity list or error for that item
- Timeout fetching a slow URL — per-item error recorded
- Payment not fulfilled (x402) — entire request rejected before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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