Parallel Web Systems builds web APIs purpose-built for AI agents: a high-accuracy Search API, an Extract API that turns URLs into clean LLM-ready markdown, a Task/Deep Research API with tiered processors (lite through ultra), FindAll for natural-language entity discovery and enrichment, a Monitor API for scheduled web-change tracking, an OpenAI-compatible Responses and Chat Completions pair, and a Memory API that lets agents reuse past research. The platform is API-key authenticated over https://api.parallel.ai, ships official Python and TypeScript SDKs and a CLI, emits Standard Webhooks and SSE event streams, and is SOC 2 Type I/II certified. Its agent surface is unusually complete: an anonymous hosted MCP server whose tools are publicly introspectable, an OAuth-gated Task MCP server, a conformant A2A agent card backed by a live /a2a endpoint, provider-published Agent Skills with a discovery document, an llms.txt, and markdown twins of every documentation page. Pricing is pay-as-you-go per request per product. Originally surfaced as a Kleiner Perkins portfolio company and enriched from Parallel's public developer surface.
Parallel publishes 8 APIs on the APIs.io network, including Chat API (Beta) API, Extract API, FindAll API, and 5 more. Tagged areas include Company, Artificial Intelligence, Web Search, Agents, and Deep Research.
The Parallel catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Parallel’s developer surface includes documentation, API reference, getting-started guide, pricing, engineering blog, signup flow, support, and 35 more developer resources.
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The Chat API provides a programmatic chat-style text generation interface. It accepts a sequence of messages and returns model responses. Intended for assistant-like interaction...
Extract returns excerpts or full content from one or more URLs. Inputs are a list of URLs and an optional search objective and keyword queries. The returned excerpts or full con...
The FindAll API discovers and evaluates entities that match complex criteria from natural language objectives. Submit a high-level goal and the service automatically generates s...
The Monitor API watches the web for material changes on a fixed frequency. Each monitor runs once on creation and then on its configured schedule, emitting events when meaningfu...
Search returns ranked URLs with extended excerpts suitable for LLM consumption. Inputs are a natural-language objective and optional keyword queries. Source policies allow inclu...
The Task API executes web research and extraction tasks. Clients submit a natural-language objective with an optional input schema; the service plans retrieval, fetches relevant...
The Memory API lets agents search and reuse the results of past Task, Monitor and FindAll runs so new research builds on work already done. It exposes retrieve, evict and clear ...
An OpenAI-Responses-compatible interface for answers grounded in live web research, with URL citations. Point any Responses-API client — the OpenAI Python SDK, OpenAI TypeScript...
aid: parallel
name: Parallel
description: 'Parallel Web Systems builds web APIs purpose-built for AI agents: a high-accuracy Search API, an Extract API
that turns URLs into clean LLM-ready markdown, a Task/Deep Research API with tiered processors (lite through ultra), FindAll
for natural-language entity discovery and enrichment, a Monitor API for scheduled web-change tracking, an OpenAI-compatible
Responses and Chat Completions pair, and a Memory API that lets agents reuse past research. The platform is API-key authenticated
over https://api.parallel.ai, ships official Python and TypeScript SDKs and a CLI, emits Standard Webhooks and SSE event
streams, and is SOC 2 Type I/II certified. Its agent surface is unusually complete: an anonymous hosted MCP server whose
tools are publicly introspectable, an OAuth-gated Task MCP server, a conformant A2A agent card backed by a live /a2a endpoint,
provider-published Agent Skills with a discovery document, an llms.txt, and markdown twins of every documentation page.
Pricing is pay-as-you-go per request per product. Originally surfaced as a Kleiner Perkins portfolio company and enriched
from Parallel''s public developer surface.'
url: https://raw.githubusercontent.com/api-evangelist/parallel/refs/heads/main/apis.yml
deliveryModel:
model: saas
open_source: false
commercial: true
callable_host: true
label: Hosted service · you call their endpoint
confidence: high
source:
- openapi
- pricing
generated: '2026-08-28'
method: derived
accessModel:
pricing: pay-as-you-go
onboarding: self-serve
trial: true
try_now: true
public: true
label: Self-serve signup, pay-as-you-go, free tier
confidence: high
notes: Published per-request rate card (plans/parallel-plans-pricing.yml); up to $80 signup credit and $5/month free credits;
hosted playgrounds per product; and an MCP endpoint at https://search.parallel.ai/mcp callable with no account and no
API key at all.
source:
- https://docs.parallel.ai/getting-started/pricing
- https://parallel.ai/pricing
- https://docs.parallel.ai/integrations/mcp/search-mcp
generated: '2026-08-14'
method: searched
image: https://cdn.sanity.io/images/5hzduz3y/production/3e8afb3fd62096a800a8135910fdc375971e17ba-3600x1890.jpg?w=1200&h=630&fit=crop
x-type: company
x-source: kleiner-perkins-portfolio
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-14'
tags:
- Company
- Artificial Intelligence
- Web Search
- Agents
- Deep Research
- Web Extraction
- Data Enrichment
- Web Monitoring
- LLM Tools
tags_raw:
- Company
- Ai
- Web Search
- Agents
- Deep Research
- Web Extraction
- Data Enrichment
- Web Monitoring
- LLM Tools
apis:
- aid: parallel:parallel-chat-api-beta-api
name: Parallel Chat API (Beta) API
description: The Chat API provides a programmatic chat-style text generation interface. It accepts a sequence of messages
and returns model responses. Intended for assistant-like interactions and evaluation. Streaming responses are supported.
humanURL: https://docs.parallel.ai/getting-started/overview
baseURL: https://api.parallel.ai
tags:
- Chat API (Beta)
properties:
- type: OpenAPI
url: openapi/parallel-chat-api-beta-api-openapi.yml
- type: Documentation
url: https://docs.parallel.ai/home
- type: APIReference
url: https://docs.parallel.ai/api-reference
- type: GettingStarted
url: https://docs.parallel.ai/getting-started/overview
- type: Authentication
url: authentication/parallel-authentication.yml
- aid: parallel:parallel-extract-api
name: Parallel Extract API
description: 'Extract returns excerpts or full content from one or more URLs. Inputs are a list of URLs and an optional
search objective and keyword queries. The returned excerpts or full content is formatted as markdown and suitable for
LLM consumption.
- Result: excerpts or full content from the URL formatted as markdown'
humanURL: https://docs.parallel.ai/getting-started/overview
baseURL: https://api.parallel.ai
tags:
- Extract
properties:
- type: OpenAPI
url: openapi/parallel-extract-api-openapi.yml
- type: Documentation
url: https://docs.parallel.ai/home
- type: APIReference
url: https://docs.parallel.ai/api-reference
- type: GettingStarted
url: https://docs.parallel.ai/getting-started/overview
- type: Authentication
url: authentication/parallel-authentication.yml
- aid: parallel:parallel-findall-api
name: Parallel FindAll API
description: The FindAll API discovers and evaluates entities that match complex criteria from natural language objectives.
Submit a high-level goal and the service automatically generates structured match conditions, discovers relevant candidates,
and evaluates each against the criteria. Returns comprehensive results with detailed reasoning, citations, and confidence
scores for each match decision. Streaming events and webhooks are supported.
humanURL: https://docs.parallel.ai/getting-started/overview
baseURL: https://api.parallel.ai
tags:
- FindAll
properties:
- type: OpenAPI
url: openapi/parallel-findall-api-openapi.yml
- type: Documentation
url: https://docs.parallel.ai/home
- type: APIReference
url: https://docs.parallel.ai/api-reference
- type: GettingStarted
url: https://docs.parallel.ai/getting-started/overview
- type: Authentication
url: authentication/parallel-authentication.yml
- aid: parallel:parallel-monitor-api
name: Parallel Monitor API
description: 'The Monitor API watches the web for material changes on a fixed frequency. Each monitor runs once on creation
and then on its configured schedule, emitting events when meaningful changes are detected.
- `event_stream` monitors track a search query and emit an event for each new material change.
- `snapshot` monitors track a specific task run''s output and emit an event when the output changes.
Results can be polled via the events endpoint or delivered via webhooks.'
humanURL: https://docs.parallel.ai/getting-started/overview
baseURL: https://api.parallel.ai
tags:
- Monitors
tags_raw:
- Monitor
properties:
- type: OpenAPI
url: openapi/parallel-monitor-api-openapi.yml
- type: Documentation
url: https://docs.parallel.ai/home
- type: APIReference
url: https://docs.parallel.ai/api-reference
- type: GettingStarted
url: https://docs.parallel.ai/getting-started/overview
- type: Authentication
url: authentication/parallel-authentication.yml
- aid: parallel:parallel-search-api
name: Parallel Search API
description: 'Search returns ranked URLs with extended excerpts suitable for LLM consumption. Inputs are a natural-language
objective and optional keyword queries. Source policies allow including or excluding specific domains and have configurable
output sizes. The returned extended snippets contain dense, relevant information from relevant pages.
- Result: ranked list with URL, title, and long text excerpts'
humanURL: https://docs.parallel.ai/getting-started/overview
baseURL: https://api.parallel.ai
tags:
- Search
properties:
- type: OpenAPI
url: openapi/parallel-search-api-openapi.yml
- type: Documentation
url: https://docs.parallel.ai/home
- type: APIReference
url: https://docs.parallel.ai/api-reference
- type: GettingStarted
url: https://docs.parallel.ai/getting-started/overview
- type: Authentication
url: authentication/parallel-authentication.yml
- aid: parallel:parallel-tasks-api
name: Parallel Tasks API
description: 'The Task API executes web research and extraction tasks. Clients submit a natural-language objective with
an optional input schema; the service plans retrieval, fetches relevant URLs, and returns outputs that conform to a provided
or inferred JSON schema. Supports deep research style queries and can return rich structured JSON outputs. Processors
trade-off between cost, latency, and quality. Each processor supports calibrated confidences.
- Output metadata: citations, excerpts, reasoning, and confidence per field
Task Groups enable batch execution of many independent Task runs with group-level monitoring and failure handling.
- Submit hundreds or thousands of Tasks as a single group
- Observe group progress and receive results as they complete
- Real-time updates via Server-Sent Events (SSE)
- Add tasks to an existing group while it is running
- Group-level retry and error aggregation'
humanURL: https://docs.parallel.ai/getting-started/overview
baseURL: https://api.parallel.ai
tags:
- Task
tags_raw:
- Tasks
properties:
- type: OpenAPI
url: openapi/parallel-tasks-api-openapi.yml
- type: Documentation
url: https://docs.parallel.ai/home
- type: APIReference
url: https://docs.parallel.ai/api-reference
- type: GettingStarted
url: https://docs.parallel.ai/getting-started/overview
- type: Authentication
url: authentication/parallel-authentication.yml
- aid: parallel:parallel-memory-api
name: Parallel Memory API
description: The Memory API lets agents search and reuse the results of past Task, Monitor and FindAll runs so new research
builds on work already done. It exposes retrieve, evict and clear operations over the stored research corpus, turning
repeated web research into a reusable, source-addressable memory rather than a fresh crawl every time.
humanURL: https://docs.parallel.ai/resources/memory
baseURL: https://api.parallel.ai
tags:
- Memory
properties:
- type: OpenAPI
url: openapi/parallel-memory-api-openapi.yml
- type: Documentation
url: https://docs.parallel.ai/resources/memory
- type: APIReference
url: https://docs.parallel.ai/api-reference
- type: GettingStarted
url: https://docs.parallel.ai/getting-started/overview
- type: Authentication
url: authentication/parallel-authentication.yml
- aid: parallel:parallel-responses-api-api
name: Parallel Responses API
description: 'An OpenAI-Responses-compatible interface for answers grounded in live web research, with URL citations. Point
any Responses-API client — the OpenAI Python SDK, OpenAI TypeScript SDK, the Agents SDK, or raw HTTP — at `https://api.parallel.ai`
with your Parallel API key, set `model` to `parallel`, and call `/v1/responses`.
- `input` accepts a plain string or an array of role/content messages (canonical OpenAI shape; text content only).
- `reasoning.effort` (`low`/`medium`/`high`) controls how much research is performed, trading response time for answer
quality.
- Multi-turn via `previous_response_id`.
- Structured outputs via `text.format = {"type": "json_schema", "name": ..., "schema": {...}}`.
- Streaming (`stream=true`) emits the standard OpenAI Responses SSE lifecycle: `response.created` and `response.in_progress`,
then output item / content part / text delta events with URL-citation annotations, the matching `*.done` events, and a
terminal `response.completed` — or `response.failed` if the request fails mid-stream.'
humanURL: https://docs.parallel.ai/getting-started/overview
baseURL: https://api.parallel.ai
tags:
- Responses API
properties:
- type: OpenAPI
url: openapi/parallel-responses-api-api-openapi.yml
- type: Documentation
url: https://docs.parallel.ai/responses-api/responses-quickstart
- type: APIReference
url: https://docs.parallel.ai/api-reference
- type: GettingStarted
url: https://docs.parallel.ai/getting-started/overview
- type: Authentication
url: authentication/parallel-authentication.yml
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- FN: APIs.json
email: info@apis.io
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- type: Conformance
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x-enrichment:
date: '2026-08-14'
status: enriched
artifacts_added: 12
pass: local-v1
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