Skip to main content

Python client for the NOSIBLE Search API

Project description

Linux Tests Windows Tests macOS Tests Read the Docs PyPI version codecov

Logo

NOSIBLE Search Client

A high-level Python client for the NOSIBLE Search API. Easily integrate the Nosible Search API into your Python projects.

📄 Documentation

You can find the full NOSIBLE Search Client documentation here.

📦 Installation

pip install nosible

Requirements:

  • Python 3.9+
  • requests
  • polars
  • cryptography
  • tenacity
  • pyrate-limiter
  • tantivy
  • openai

⚙️ Configuration

You can specify a custom base URL for all endpoints (e.g., OpenRouter, Google, or your own proxy):

from nosible import Nosible

client = Nosible(
    nosible_api_key="basic|abcd1234...",
    llm_api_key="sk-...",
    base_url="https://api.openrouter.ai/v1"
)

🔑 Authentication

  1. Sign in to nosible.ai and grab your free API key.
  2. Set it as an environment variable or pass directly:

On Windows

$Env:NOSIBLE_API_KEY="basic|abcd1234..."
$Env:LLM_API_KEY="sk-..."  # for query expansions (optional)

On Linux

export NOSIBLE_API_KEY="basic|abcd1234..."
export LLM_API_KEY="sk-..."  # for query expansions (optional)

Or in code:

  • As an argument:
from nosible import Nosible

client = Nosible(
    nosible_api_key="basic|abcd1234...",
    llm_api_key="sk-...",
)
  • As an environment variable:
from nosible import Nosible
import os

os.environ["NOSIBLE_API_KEY"] = "basic|abcd1234..."
os.environ["LLM_API_KEY"] = "sk-..."

🎯 Core Workflows

I need Method Use case
Single query, up to 100 results search Interactive lookups
Multiple queries in parallel searches Dashboards, comparisons
Thousands of results (100–10k) bulk_search Analytics, offline jobs

🚀 Examples

Fast Search

Retrieve up to 100 results with optional filters:

from nosible import Nosible

with Nosible(
    nosible_api_key="basic|abcd1234...",
    llm_api_key="sk-...",
    base_url="https://api.openrouter.ai/v1"
) as client:
    results = client.search(
        question="What are the terms of the partnership between Microsoft and OpenAI?",
        n_results=20,
        publish_start="2020-06-01",
        publish_end="2025-06-30",
        include_netlocs=["nytimes.com", "techcrunch.com"],
        exclude_netlocs=["example.com"],
        visited_start="2023-06-01",
        visited_end="2025-06-29",
        include_languages=["en", "fr"],
        exclude_languages=["de"],
        include_companies=["/m/04sv4"],  # Microsoft's GKID
        exclude_companies=["/m/045c7b"]  # Google GKID
    )
    print([r.title for r in results])

Parallel Searches

Run multiple queries concurrently:

from nosible import Nosible

with Nosible(nosible_api_key="basic|abcd1234...", llm_api_key="sk-...") as client:
    for batch in client.searches(
        questions=[
            "What are the terms of the partnership between Microsoft and OpenAI?",
            "What exclusivity or non-compete clauses are included in their partnership?"
        ],
        n_results=10,
        publish_start="2025-06-01"
    ):
        print(batch[0].title)

Bulk Search

Fetch thousands of results for offline analysis:

from nosible import Nosible

with Nosible(nosible_api_key="basic|abcd1234...") as client:
    bulk = client.bulk_search(
        question="What chip-development responsibilities has Intel committed to under its deal with Apple?",
        n_results=2000
    )
    print(len(bulk))
print(bulk)

Combine Results

Add two ResultSets together:

from nosible import Nosible

with Nosible(nosible_api_key="basic|abcd1234...") as client:
    r1 = client.search(
        question="What are the terms of the partnership between Microsoft and OpenAI?",
        n_results=5
    )
    r2 = client.search(
        question="How is research governance and decision-making structured between Google and DeepMind?",
        n_results=5
    )
    combined = r1 + r2
    print(combined)

Search Object

Use the Search class to encapsulate parameters:

from nosible import Nosible, Search

with Nosible(nosible_api_key="basic|abcd1234...") as client:
    search = Search(
        question="What are the terms of the partnership between Microsoft and OpenAI?",
        n_results=3,
        publish_start="2020-01-15",
        publish_end="2025-07-20",
        include_netlocs=["arxiv.org", "bbc.com"],
        certain=True
    )
    results = client.search(search=search)
    print([r for r in results])

Sentiment Analysis

Compute sentiment for a single result (Uses GPT-4o; requires LLM API key):

from nosible import Nosible

with Nosible(nosible_api_key="basic|abcd1234...", llm_api_key="sk-...") as client:
    results = client.search(
        question="What are the terms of the partnership between Microsoft and OpenAI?",
        n_results=1
    )
    score = results[0].sentiment(client)
    print(f"Sentiment score: {score:.2f}")

Save & Load Formats

Supported formats for saving and loading:

from nosible import Nosible, ResultSet

with Nosible(nosible_api_key="basic|abcd1234...") as client:
    combined = client.search(
        question="What are the terms of the partnership between Microsoft and OpenAI?",
        n_results=5
    ) + client.search(
        question="How is research governance and decision-making structured between Google and DeepMind?",
        n_results=5
    )

    # Save
    combined.to_csv("all_news.csv")
    combined.to_json("all_news.json")
    combined.to_parquet("all_news.parquet")
    combined.to_arrow("all_news.arrow")
    combined.to_duckdb("all_news.duckdb", table_name="news")
    combined.to_ndjson("all_news.ndjson")

    # Load
    rs_csv    = ResultSet.from_csv("all_news.csv")
    rs_json   = ResultSet.from_json("all_news.json")
    rs_parq   = ResultSet.from_parquet("all_news.parquet")
    rs_arrow  = ResultSet.from_arrow("all_news.arrow")
    rs_duckdb = ResultSet.from_duckdb("all_news.duckdb")
    rs_ndjson = ResultSet.from_ndjson("all_news.ndjson")

📡 Swagger Docs

You can find online endpoints to the NOSIBLE Search API Swagger Docs here.

⚙️ Rate Limiting

Inspect your current limits at runtime:

client.get_ratelimits()

Default limits by plan:

Plan Period Fast Searches URL Visits Slow Searches Cost CPM
Free Monthly 3,000 300 300 $0 $0
Daily 100 10 10
Per-Minute 10 1 1
Basic Monthly 30,000 3,000 3,000 $120 $4
Daily 1,000 100 100
Per-Minute 10 1 1
Pro Monthly 150,000 7,500 7,500 $450 $3
Daily 5,000 250 250
Per-Minute 10 1 1
Pro+ Monthly 300,000 15,000 15,000 $750 $2.5
Daily 10,000 500 500
Per-Minute 10 2 1
Business Monthly 1,500,000 30,000 30,000 $3,000 $2
Daily 50,000 1,000 1,000
Per-Minute 35 2 2
Business+ Monthly 3,000,000 60,000 60,000 $4,500 $1.5
Daily 100,000 2,000 2,000
Per-Minute 100 3 3
Enterprise Monthly 15,000,000 150,000 150,000 $15,000 $1
Daily 500,000 5,000 5,000
Per-Minute 400 5 5

*All endpoints are automatically throttled


© 2025 Nosible Inc. | Privacy Policy | Terms

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nosible-0.1.6.tar.gz (45.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nosible-0.1.6-py3-none-any.whl (46.9 kB view details)

Uploaded Python 3

File details

Details for the file nosible-0.1.6.tar.gz.

File metadata

  • Download URL: nosible-0.1.6.tar.gz
  • Upload date:
  • Size: 45.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for nosible-0.1.6.tar.gz
Algorithm Hash digest
SHA256 649b14f25a70afb95cc04dc846283134e3d6f34db4dff87c34ba02c188233683
MD5 c6054fb5912ef48f0b416f3e5338adcd
BLAKE2b-256 d1105788e93afce43b6793c9aa15e0ab3b8d9950776df6a59983b196f8c3c344

See more details on using hashes here.

Provenance

The following attestation bundles were made for nosible-0.1.6.tar.gz:

Publisher: publish-to-pypi.yml on NosibleAI/nosible-py

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nosible-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: nosible-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 46.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for nosible-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 9d5910e79bc9bb75aeb5157f45f632dd128a939ec39f70810291a8cef7c30b63
MD5 b1f341c9d0d765473651ba12cc9a84b8
BLAKE2b-256 6e7308e39521b9c15169235d45a24de79799764f504a21c4dfefcf275077598a

See more details on using hashes here.

Provenance

The following attestation bundles were made for nosible-0.1.6-py3-none-any.whl:

Publisher: publish-to-pypi.yml on NosibleAI/nosible-py

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page