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2,979 changes: 1,628 additions & 1,351 deletions .speakeasy/gen.lock

Large diffs are not rendered by default.

2 changes: 1 addition & 1 deletion .speakeasy/gen.yaml
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Expand Up @@ -29,7 +29,7 @@ generation:
generateNewTests: false
skipResponseBodyAssertions: false
python:
version: 0.13.1
version: 0.13.2
additionalDependencies:
dev: {}
main: {}
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15 changes: 7 additions & 8 deletions .speakeasy/workflow.lock
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@@ -1,21 +1,20 @@
speakeasyVersion: 1.731.2
speakeasyVersion: 1.759.3
sources:
converge-source:
sourceNamespace: converge-source
sourceRevisionDigest: sha256:48cf182ee10951ce591e9d09c41ff31c245676976837dc8efeeb81de92331450
sourceBlobDigest: sha256:7de50b965211e15a8a2e0f0aa4bf2e80879f8e95decc394147e411317e37caa0
sourceRevisionDigest: sha256:4ef08a63f4a984605ea96405c9c7e4e3ee4c40cf04132c15eab98778d501ac73
sourceBlobDigest: sha256:cda7d692d79d9b333c0e60790909346f53cf32dc182bfb0c9954f524da98ac76
tags:
- latest
- speakeasy-sdk-regen-1771979923
- 1.0.80
- 1.0.87
targets:
censys-sdk-python:
source: converge-source
sourceNamespace: converge-source
sourceRevisionDigest: sha256:48cf182ee10951ce591e9d09c41ff31c245676976837dc8efeeb81de92331450
sourceBlobDigest: sha256:7de50b965211e15a8a2e0f0aa4bf2e80879f8e95decc394147e411317e37caa0
sourceRevisionDigest: sha256:4ef08a63f4a984605ea96405c9c7e4e3ee4c40cf04132c15eab98778d501ac73
sourceBlobDigest: sha256:cda7d692d79d9b333c0e60790909346f53cf32dc182bfb0c9954f524da98ac76
codeSamplesNamespace: converge-source-python-code-samples
codeSamplesRevisionDigest: sha256:3888134d241e822364240410bd135065d6da335e32aa1173967eeeb211429867
codeSamplesRevisionDigest: sha256:eb3a199ee8a9bc50360e8ada3bd0f6bd3218878e71194a4aa17281fec5838d4c
workflow:
workflowVersion: 1.0.0
speakeasyVersion: latest
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3 changes: 3 additions & 0 deletions README-PYPI.md
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Expand Up @@ -222,6 +222,9 @@ asyncio.run(main())

### [ThreatHunting](https://github.com/censys/censys-sdk-python/blob/master/docs/sdks/threathunting/README.md)

* [create_censeye_job](https://github.com/censys/censys-sdk-python/blob/master/docs/sdks/threathunting/README.md#create_censeye_job) - CensEye: Create a pivot analysis job
* [get_censeye_job](https://github.com/censys/censys-sdk-python/blob/master/docs/sdks/threathunting/README.md#get_censeye_job) - CensEye: Get job status
* [get_censeye_job_results](https://github.com/censys/censys-sdk-python/blob/master/docs/sdks/threathunting/README.md#get_censeye_job_results) - CensEye: Get job results
* [get_host_observations_with_certificate](https://github.com/censys/censys-sdk-python/blob/master/docs/sdks/threathunting/README.md#get_host_observations_with_certificate) - Get host history for a certificate
* [create_tracked_scan](https://github.com/censys/censys-sdk-python/blob/master/docs/sdks/threathunting/README.md#create_tracked_scan) - Live Discovery: Initiate a new scan
* [get_tracked_scan_threat_hunting](https://github.com/censys/censys-sdk-python/blob/master/docs/sdks/threathunting/README.md#get_tracked_scan_threat_hunting) - Get scan status
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3 changes: 3 additions & 0 deletions README.md
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Expand Up @@ -222,6 +222,9 @@ asyncio.run(main())

### [ThreatHunting](docs/sdks/threathunting/README.md)

* [create_censeye_job](docs/sdks/threathunting/README.md#create_censeye_job) - CensEye: Create a pivot analysis job
* [get_censeye_job](docs/sdks/threathunting/README.md#get_censeye_job) - CensEye: Get job status
* [get_censeye_job_results](docs/sdks/threathunting/README.md#get_censeye_job_results) - CensEye: Get job results
* [get_host_observations_with_certificate](docs/sdks/threathunting/README.md#get_host_observations_with_certificate) - Get host history for a certificate
* [create_tracked_scan](docs/sdks/threathunting/README.md#create_tracked_scan) - Live Discovery: Initiate a new scan
* [get_tracked_scan_threat_hunting](docs/sdks/threathunting/README.md#get_tracked_scan_threat_hunting) - Get scan status
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12 changes: 11 additions & 1 deletion RELEASES.md
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Expand Up @@ -216,4 +216,14 @@ Based on:
### Generated
- [python v0.13.1] .
### Releases
- [PyPI v0.13.1] https://pypi.org/project/censys-platform/0.13.1 - .
- [PyPI v0.13.1] https://pypi.org/project/censys-platform/0.13.1 - .

## 2026-03-26 00:40:03
### Changes
Based on:
- OpenAPI Doc
- Speakeasy CLI 1.759.3 (2.869.25) https://github.com/speakeasy-api/speakeasy
### Generated
- [python v0.13.2] .
### Releases
- [PyPI v0.13.2] https://pypi.org/project/censys-platform/0.13.2 - .
8 changes: 8 additions & 0 deletions docs/models/assetchangetypes.md
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@@ -1,5 +1,13 @@
# AssetChangeTypes

## Example Usage

```python
from censys_platform.models import AssetChangeTypes

value = AssetChangeTypes.ADDED
```


## Values

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10 changes: 10 additions & 0 deletions docs/models/attackcomplexity.md
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Indicates conditions beyond the attacker’s control that must exist in order to exploit the vulnerability. The Attack Complexity metric is scored as either Low or High. There are two possible values: Low (L) – There are no specific pre-conditions required for exploitation, High (H) – The attacker must complete some number of preparatory steps in order to get access.

## Example Usage

```python
from censys_platform.models import AttackComplexity

value = AttackComplexity.UNKNOWN

# Open enum: unrecognized values are captured as UnrecognizedStr
```


## Values

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10 changes: 10 additions & 0 deletions docs/models/attackrequirements.md
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# AttackRequirements

## Example Usage

```python
from censys_platform.models import AttackRequirements

value = AttackRequirements.UNKNOWN

# Open enum: unrecognized values are captured as UnrecognizedStr
```


## Values

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10 changes: 10 additions & 0 deletions docs/models/attackvector.md
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Indicates the level of access required for an attacker to exploit the vulnerability. The Attack Vector metric is scored in one of four levels: Network (N) – Vulnerabilities with this rating are remotely exploitable, from one or more hops away, up to, and including, remote exploitation over the Internet, Adjacent (A) – A vulnerability with this rating requires network adjacency for exploitation. The attack must be launched from the same physical or logical network, Local (L) – Vulnerabilities with this rating are not exploitable over a network, Physical (P) – An attacker must physically interact with the target system.

## Example Usage

```python
from censys_platform.models import AttackVector

value = AttackVector.UNKNOWN

# Open enum: unrecognized values are captured as UnrecognizedStr
```


## Values

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10 changes: 10 additions & 0 deletions docs/models/automatable.md
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# Automatable

## Example Usage

```python
from censys_platform.models import Automatable

value = Automatable.UNKNOWN

# Open enum: unrecognized values are captured as UnrecognizedStr
```


## Values

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10 changes: 10 additions & 0 deletions docs/models/availability.md
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Expand Up @@ -2,6 +2,16 @@

If an attack renders information unavailable, such as when a system crashes or through a DDoS attack, availability is negatively impacted. Availability has three possible values: None (N) – There is no loss of availability, Low (L) – Availability might be intermittently limited, or performance might be negatively impacted, as a result of a successful attack, High (H) – There is a complete loss of availability of the impacted system or information.

## Example Usage

```python
from censys_platform.models import Availability

value = Availability.UNKNOWN

# Open enum: unrecognized values are captured as UnrecognizedStr
```


## Values

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16 changes: 16 additions & 0 deletions docs/models/censeyejob.md
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# CenseyeJob


## Fields

| Field | Type | Required | Description | Example |
| -------------------------------------------------------------------- | -------------------------------------------------------------------- | -------------------------------------------------------------------- | -------------------------------------------------------------------- | -------------------------------------------------------------------- |
| `at_time` | [date](https://docs.python.org/3/library/datetime.html#date-objects) | :heavy_minus_sign: | The point-in-time the asset data was evaluated at. | |
| `create_time` | [date](https://docs.python.org/3/library/datetime.html#date-objects) | :heavy_minus_sign: | When the job was created. | |
| `delete_time` | [date](https://docs.python.org/3/library/datetime.html#date-objects) | :heavy_minus_sign: | When the job and results will be deleted. | |
| `error` | *Optional[str]* | :heavy_minus_sign: | Error message if the job failed. | |
| `job_id` | *str* | :heavy_check_mark: | Unique identifier of the job. | 550e8400-e29b-41d4-a716-446655440000 |
| `result_count` | *Optional[int]* | :heavy_minus_sign: | Total number of result field-value pairs. | 42 |
| `state` | [models.State](../models/state.md) | :heavy_check_mark: | Current state of the job. | completed |
| `target` | [models.CenseyeTarget](../models/censeyetarget.md) | :heavy_check_mark: | N/A | |
| `update_time` | [date](https://docs.python.org/3/library/datetime.html#date-objects) | :heavy_minus_sign: | When the job was last updated. | |
9 changes: 9 additions & 0 deletions docs/models/censeyeresult.md
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# CenseyeResult


## Fields

| Field | Type | Required | Description |
| -------------------------------------------------------------- | -------------------------------------------------------------- | -------------------------------------------------------------- | -------------------------------------------------------------- |
| `count` | *float* | :heavy_check_mark: | Number of matching documents for this field-value combination. |
| `field_value_pairs` | List[[models.FieldValuePair](../models/fieldvaluepair.md)] | :heavy_check_mark: | The field-value pairs that were counted. |
9 changes: 9 additions & 0 deletions docs/models/censeyeresultsresponse.md
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# CenseyeResultsResponse


## Fields

| Field | Type | Required | Description |
| -------------------------------------------------------- | -------------------------------------------------------- | -------------------------------------------------------- | -------------------------------------------------------- |
| `next_page_token` | *Optional[str]* | :heavy_minus_sign: | Token to retrieve the next page of results. |
| `results` | List[[models.CenseyeResult](../models/censeyeresult.md)] | :heavy_check_mark: | List of count results. |
10 changes: 10 additions & 0 deletions docs/models/censeyetarget.md
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# CenseyeTarget


## Fields

| Field | Type | Required | Description | Example |
| ---------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------- |
| `certificate_id` | *Optional[str]* | :heavy_minus_sign: | SHA-256 fingerprint of the certificate to analyze. | 3daf2843a77b6f4e6af43cd9b6f6746053b8c928e056e8a724808db8905a94cf |
| `host_id` | *Optional[str]* | :heavy_minus_sign: | IP address of the host to analyze. | 8.8.8.8 |
| `webproperty_id` | *Optional[str]* | :heavy_minus_sign: | Web property identifier (hostname:port) to analyze. | example.com:443 |
10 changes: 10 additions & 0 deletions docs/models/changetype.md
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# ChangeType

## Example Usage

```python
from censys_platform.models import ChangeType

value = ChangeType.ADDED

# Open enum: unrecognized values are captured as UnrecognizedStr
```


## Values

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8 changes: 8 additions & 0 deletions docs/models/changetypes.md
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# ChangeTypes

## Example Usage

```python
from censys_platform.models import ChangeTypes

value = ChangeTypes.ASSET
```


## Values

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10 changes: 10 additions & 0 deletions docs/models/collectionstatus.md
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# CollectionStatus

## Example Usage

```python
from censys_platform.models import CollectionStatus

value = CollectionStatus.UNSPECIFIED

# Open enum: unrecognized values are captured as UnrecognizedStr
```


## Values

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8 changes: 8 additions & 0 deletions docs/models/collectionstatuses.md
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# CollectionStatuses

## Example Usage

```python
from censys_platform.models import CollectionStatuses

value = CollectionStatuses.POPULATING
```


## Values

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10 changes: 10 additions & 0 deletions docs/models/confidentiality.md
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Expand Up @@ -2,6 +2,16 @@

Refers to the disclosure of sensitive information to authorized and unauthorized users, with the goal being that only authorized users are able to access the target data. Confidentiality has three potential values: High (H) – The attacker has full access to all resources in the impacted system, including highly sensitive information such as encryption keys, Low (L) – The attacker has partial access to information, with no control over what, specifically, they are able to access, None (N) – No data is accessible to unauthorized users as a result of the exploit.

## Example Usage

```python
from censys_platform.models import Confidentiality

value = Confidentiality.UNKNOWN

# Open enum: unrecognized values are captured as UnrecognizedStr
```


## Values

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6 changes: 3 additions & 3 deletions docs/models/countcondition.md
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Expand Up @@ -3,6 +3,6 @@

## Fields

| Field | Type | Required | Description |
| --------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
| `field_value_pairs` | List[[models.FieldValuePair](../models/fieldvaluepair.md)] | :heavy_check_mark: | Field-value pairs to count matches for. Must target fields from the same nested object. |
| Field | Type | Required | Description |
| --------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------- |
| `field_value_pairs` | List[[models.FieldValuePair](../models/fieldvaluepair.md)] | :heavy_check_mark: | Field-value pairs to count matches for. Must target fields from the same nested object and may contain at most 5 pairs per group. |
8 changes: 8 additions & 0 deletions docs/models/createcenseyejobinputbody.md
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# CreateCenseyeJobInputBody


## Fields

| Field | Type | Required | Description |
| -------------------------------------------------- | -------------------------------------------------- | -------------------------------------------------- | -------------------------------------------------- |
| `target` | [models.CenseyeTarget](../models/censeyetarget.md) | :heavy_check_mark: | N/A |
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