AI Inference · x402 · early usage

Social Post / Price Timing Check

by app.tenna.ai · discovered, not yet claimed by its owner · updated 2026-10-08

30d calls5

30d payers4

MethodPOST

Outputjson

Mirrored from Coinbase's public x402 Bazaar. The description is the provider's own text and has not been reviewed here; the payment requirements are copied as published.

What it does

Social Post / Price Timing Check. Whether social posts led or lagged the price move, measured on Robinhood-chain token launches only — not BTC, ETH or listed majors. Post times are recovered arithmetically from X snowflake ids. The sample is small, outcome-selected from pumped launches, and can be weeks old; its age in days ships with the result. In our sample posts lagged the move, so this is a timing disclosure and never an early-warning or entry signal.

Tags: social · timing · price · evidence · bazaar

Call contract

Method: POST
Input: json
Output: json
Last paid call: 2026-10-08

Input example from Bazaar metadata

{
  "offering": "social_timing_check"
}

Output example

{
  "leadDistributionMinutes": {
    "maximum": null,
    "median": null,
    "minimum": null,
    "p25": null,
    "p75": null,
    "unit": "<unit>"
  },
  "limitations": [
    "<limitations>"
  ],
  "offering": "social_timing_check",
  "provenance": {
    "auditedDeliverableHash": null,
    "generatedAt": 1,
    "ledgerLaunchCount": null,
    "ledgerSpanHours": null,
    "resultHash": null,
    "rubricVersion": null,
    "source": "<source>"
  },
  "sampleInference": {
    "populationEstimateValid": true,
    "reason": "<reason>",
    "refreshState": "<refreshState>",
    "scope": "<scope>"
  },
  "sampleLeadMinutes": [
    1
  ],
  "sampleObservedAt": null,
  "sampleSelection": {
    "chain": "<chain>",
    "group": "<group>",
    "minimumSwaps": null,
    "outcomeSelected": true,
    "pumpThresholdMultiple": null,
    "ranking": "<ranking>",
    "searchKey": "<searchKey>"
  },
  "sampleSize": 1,
  "sampleTokens": [
    "<sampleTokens>"
  ],
  "sampleWindow": {
    "durationSeconds": null,
    "earliestFirstPostAt": null,
    "latestFirstPostAt": null
  },
  "schemaVersion": "<schemaVersion>",
  "verdict": "<verdict>"
}

Use with an agent

Discover. Agents find this listing with GET https://bazaar.saylorinnovations.com/discovery/search?query=…, the MCP tool search_resources, or /discovery/resources.
Inspect. Fetch /resources/26978.json for the price and payment options.
Pay. Call GET https://app.tenna.ai/api/x402/lumi/social_timing_check. The provider answers 402 with its payment requirements. An x402 client signs one of the options below and retries with PAYMENT-SIGNATURE.
Execute. The provider returns 200 with the data. Agent Bazaar is not in the request path and never sees your payment.

For humans

You don't need an account or an API key; you need a wallet holding a small amount of USDC on Base, and an x402-capable client (see the examples below). Call the endpoint unpaid first to see exactly what it asks for.

Pricing & payment

Price: $0.01 / request
Protocol: x402 v2
Auth: No account or API key. Pay per request.
Networks: Base
Demand: 5 calls · 4 unique payers in 30d (public x402 Bazaar data)

x402 payment requirements

Scheme	Network	Asset	Amount	Pay to	Timeout
exact	Base eip155:8453	USDC	$0.01	0x7eaf3c393a8996e124c0fa7ccbc55019854c4c5b	60s

accepts[] (raw JSON)

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x7eaf3c393a8996e124c0fa7ccbc55019854c4c5b",
    "asset": "0x833589fcd6edb6e08f4c7c32d4f71b54bda02913",
    "amount": "10000",
    "amountUsd": 0.01,
    "maxTimeoutSeconds": 60
  }
]

Schemas

Output schema (JSON Schema)

{
  "properties": {
    "example": {
      "additionalProperties": true,
      "properties": {
        "laggingPct": {
          "description": "Share of posts that lagged.",
          "type": [
            "number",
            "null"
          ]
        },
        "laggingPosts": {
          "description": "Posts that came after the move.",
          "type": [
            "integer",
            "null"
          ]
        },
        "leadDistributionMinutes": {
          "additionalProperties": false,
          "description": "Descriptive five-number summary of this selected sample; not a population confidence interval.",
          "properties": {
            "maximum": {
              "description": "Maximum observed lead.",
              "type": [
                "number",
                "null"
              ]
            },
            "median": {
              "description": "Statistical sample median.",
              "type": [
                "number",
                "null"
              ]
            },
            "minimum": {
              "description": "Minimum observed lead.",
              "type": [
                "number",
                "null"
              ]
            },
            "p25": {
              "description": "Median of the lower half.",
              "type": [
                "number",
                "null"
              ]
            },
            "p75": {
              "description": "Median of the upper half.",
              "type": [
                "number",
                "null"
              ]
            },
            "unit": {
              "description": "minutes",
              "type": "string"
            }
          },
          "required": [
            "minimum",
            "p25",
            "median",
            "p75",
            "maximum",
            "unit"
          ],
          "type": "object"
        },
        "limitations": {
          "description": "Coverage limits and missing data, always disclosed.",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "medianLeadMinutes": {
          "description": "Negative means posts came after the move.",
          "type": [
            "number",
            "null"
          ]
        },
        "offering": {
          "const": "social_timing_check",
          "description": "Offering that produced this result.",
          "type": "string"
        },
        "provenance": {
          "description": "Reproducibility metadata so another agent can audit this.",
          "properties": {
            "auditedDeliverableHash": {
              "description": "Explicit alias for resultHash on deliverable-audit results; hashes the buyer-supplied input, not the audit envelope.",
              "type": [
                "string",
                "null"
              ]
            },
            "generatedAt": {
              "description": "Unix seconds.",
              "type": "integer"
            },
            "ledgerLaunchCount": {
              "description": "Launches in the ledger. Null when the offering is not derived from the launch ledger — this means not applicable, not collection failure.",
              "type": [
                "integer",
                "null"
              ]
            },
            "ledgerSpanHours": {
              "description": "Hours of history covered. Null when the offering is not derived from the launch ledger.",
              "type": [
                "number",
                "null"
              ]
            },
            "resultHash": {
              "description": "Hash of the audited input, so the same verdict can be reproduced. Present on audit offerings.",
              "type": [
                "string",
                "null"
              ]
            },
            "rubricVersion": {
              "description": "Rubric the verdict was produced under. Present on audit offerings.",
              "type": [
                "string",
                "null"
              ]
            },
            "source": {
              "description": "Data origin.",
              "type": "string"
            }
          },
          "type": "object"
        },
        "sampleAgeDays": {
          "description": "How old the frozen sample is at delivery, in days. Stated so the age does not have to be derived by subtracting two Unix times. A large value means the observation is historical, not current.",
          "type": [
            "number",
            "null"
          ]
        },
        "sampleInference": {
          "additionalProperties": false,
          "description": "Machine-readable boundary for the small, outcome-selected historical sample.",
          "properties": {
            "populationEstimateValid": {
              "description": "Always false for this outcome-selected artifact.",
              "type": "boolean"
            },
            "reason": {
              "description": "SMALL_OUTCOME_SELECTED_SAMPLE.",
              "type": "string"
            },
            "refreshState": {
              "description": "HISTORICAL | CURRENT_WITHIN_30_DAYS | UNKNOWN.",
              "type": "string"
            },
            "scope": {
              "description": "SELECTED_SAMPLE_ONLY.",
              "type": "string"
            }
          },
          "required": [
            "scope",
            "populationEstimateValid",
            "reason",
            "refreshState"
          ],
          "type": "object"
        },
        "sampleLeadMinutes": {
          "description": "Sorted per-token lead minutes used to recompute sampleSize, medianLeadMinutes, laggingPosts, laggingPct, and the distribution. Negative values mean the post lagged the price move.",
          "items": {
            "type": "number"
          },
          "type": "array"
        },
        "sampleObservedAt": {
          "description": "Unix time when the frozen source artifact was written.",
          "type": [
            "integer",
            "null"
          ]
        },
        "sampleSelection": {
          "additionalProperties": false,
          "description": "Outcome-selected sampling rule and search basis.",
          "properties": {
            "chain": {
              "description": "Chain sampled.",
              "type": "string"
            },
            "group": {
              "description": "Eligible sample group.",
              "type": "string"
            },
            "minimumSwaps": {
              "description": "Minimum swap observations for eligibility.",
              "type": [
                "integer",
                "null"
              ]
            },
            "outcomeSelected": {
              "description": "True: the sample was selected using later outcome.",
              "type": "boolean"
            },
            "pumpThresholdMultiple": {
              "description": "Minimum peak multiple for the pumped group.",
              "type": [
                "number",
                "null"
              ]
            },
            "ranking": {
              "description": "Deterministic selection order.",
              "type": "string"
            },
            "searchKey": {
              "description": "Exact social-search key type.",
              "type": "string"
            }
          },
          "required": [
            "chain",
            "group",
            "ranking",
            "pumpThresholdMultiple",
            "minimumSwaps",
            "searchKey",
            "outcomeSelected"
          ],
          "type": "object"
        },
        "sampleSize": {
          "description": "Tokens with a measured lead time.",
          "type": "integer"
        },
        "sampleTokens": {
          "description": "Every token behind the aggregate, so the sample can be audited rather than trusted.",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "sampleWindow": {
          "additionalProperties": false,
          "description": "First-post span the sample was measured over.",
          "properties": {
            "durationSeconds": {
              "description": "Observed span between the earliest and latest first posts.",
              "type": [
                "integer",
                "null"
              ]
            },
            "earliestFirstPostAt": {
              "description": "Earliest first post.",
              "type": [
                "integer",
                "null"
              ]
            },
            "latestFirstPostAt": {
              "description": "Latest first post.",
              "type": [
                "integer",
                "null"
              ]
            }
          },
          "required": [
            "earliestFirstPostAt",
            "latestFirstPostAt",
            "durationSeconds"
          ],
          "type": "object"
        },
        "schemaVersion": {
          "description": "Deliverable contract version.",
          "type": "string"
        },
        "verdict": {
          "description": "SOCIAL_LAGS_PRICE | MIXED | NO_SAMPLE.",
          "type": "string"
        }
      },
      "required": [
        "schemaVersion",
        "offering",
        "provenance",
        "limitations",
        "sampleSize",
        "verdict",
        "sampleTokens",
        "sampleWindow",
        "sampleLeadMinutes",
        "leadDistributionMinutes",
        "sampleObservedAt",
        "sampleSelection",
        "sampleInference"
      ],
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}

Example shape — generated from the schema, not a captured live response

{
  "example": {
    "laggingPct": 0,
    "laggingPosts": 0,
    "leadDistributionMinutes": {
      "maximum": 0,
      "median": 0,
      "minimum": 0,
      "p25": 0,
      "p75": 0,
      "unit": "string"
    },
    "limitations": [
      "string"
    ],
    "medianLeadMinutes": 0,
    "offering": "string",
    "provenance": {
      "auditedDeliverableHash": "string",
      "generatedAt": 0,
      "ledgerLaunchCount": 0,
      "ledgerSpanHours": 0,
      "resultHash": "string",
      "rubricVersion": "string",
      "source": "string"
    },
    "sampleAgeDays": 0,
    "sampleInference": {
      "populationEstimateValid": true,
      "reason": "string",
      "refreshState": "string",
      "scope": "string"
    },
    "sampleLeadMinutes": [
      0
    ],
    "sampleObservedAt": 0,
    "sampleSelection": {
      "chain": "string",
      "group": "string",
      "minimumSwaps": 0,
      "outcomeSelected": true,
      "pumpThresholdMultiple": 0,
      "ranking": "string",
      "searchKey": "string"
    },
    "sampleSize": 0,
    "sampleTokens": [
      "string"
    ],
    "sampleWindow": {
      "durationSeconds": 0,
      "earliestFirstPostAt": 0,
      "latestFirstPostAt": 0
    },
    "schemaVersion": "string",
    "verdict": "string"
  },
  "type": "string"
}

Examples

curl

curl "https://app.tenna.ai/api/x402/lumi/social_timing_check"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://app.tenna.ai/api/x402/lumi/social_timing_check");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

Python

import httpx
res = httpx.get("https://app.tenna.ai/api/x402/lumi/social_timing_check")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Details

Provider: app.tenna.ai
Endpoint: https://app.tenna.ai/api/x402/lumi/social_timing_check
Machine-readable: /resources/26978.json