findall-openapi

Name: findall-openapi
Availability: InStock
Author: janwilmake

Ingest natural-language objectives and create FindAll runs via v1beta endpoints.

Updated Jan 22, 2026

Search Tags:#api #integration #real-time #webhooks #candidates #entity-matching #findall

Ready to run

npx skills add https://github.com/janwilmake/parallel-coding-skills --skill findall-openapi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: findall-openapi
Source: https://github.com/janwilmake/parallel-coding-skills/tree/main/skills/findall-openapi
Command: npx skills add https://github.com/janwilmake/parallel-coding-skills --skill findall-openapi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The FindAll API addresses the challenge of discovering and evaluating entities that meet complex, natural-language objectives by turning goals into structured match conditions and executing comprehensive assessments with reasoning and citations.

Core Features & Use Cases

Ingest natural-language objectives to generate structured FindAll schemas.
Create and monitor FindAll runs to discover, evaluate, and score candidates with detailed results.
Real-time updates via SSE and optional webhooks for asynchronous integrations.
Use Case: Build an app that identifies companies meeting regulatory or performance criteria and returns ranked matches with evidence.

Quick Start

Use the FindAll ingestion and run endpoints to quickly spin up a run and retrieve results from a provided objective.

Frequently Asked Questions about findall-openapi

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find and evaluate entities that match natural-language criteria using an API?▼

To find and evaluate entities, the FindAll API ingests natural-language objectives to generate structured schemas, then executes runs that discover, evaluate, and score candidates with verifiable reasoning and citations.

How do I get real-time updates on candidate matching runs?▼

You can get real-time updates on candidate matching runs by streaming results via SSE endpoints or configuring optional webhooks for asynchronous notifications of run status changes and completed match evaluations.

Can I use natural-language goals to automatically generate structured matching schemas?▼

Yes, you can use natural-language goals to automatically generate structured matching schemas through the ingestion endpoints, which transform user-defined criteria into verifiable conditions for evaluating candidates across multiple runs.

What's the best way to evaluate candidates against complex objectives and return ranked matches?▼

The best way to evaluate candidates against complex objectives is using the FindAll API to create runs that automatically score matches, track status, and retrieve ranked results enriched with evidence and citations.

Does the FindAll API support asynchronous integrations for discovering entities?▼

Yes, the FindAll API supports asynchronous integrations for discovering entities by providing optional webhooks alongside SSE streaming, allowing you to track run status and retrieve results without blocking your application.

What endpoints are available for ingesting objectives and retrieving match results?▼

The v1beta endpoints provide functionality for ingesting natural-language objectives, creating and monitoring runs, retrieving results, enriching data, extending schemas, and streaming updates for comprehensive entity matching workflows.